import pandas as pd
import numpy as np
import sklearn
import scikitplot
from sklearn.decomposition import PCA
from sklearn.preprocessing import StandardScaler
from sklearn.preprocessing import LabelEncoder
from sklearn.model_selection import StratifiedKFold
from sklearn.model_selection import train_test_split
from scikitplot.metrics import plot_confusion_matrix
from sklearn.metrics import accuracy_score
import seaborn as sns
import plotly.graph_objs as go
import matplotlib.pyplot as plt
%matplotlib inline
import os
os.chdir('C:\\CICIDS')
datapath1 ="C:\\CICIDS\\Monday-WorkingHours.pcap_ISCX.csv"
df1 = pd.read_csv(datapath1)
datapath2 = "C:\\CICIDS\\Tuesday-WorkingHours.pcap_ISCX.csv"
df2 = pd.read_csv(datapath2)
datapath3 = "C:\\CICIDS\\Wednesday-workingHours.pcap_ISCX.csv"
df3 = pd.read_csv(datapath3)
datapath4 = "C:\\CICIDS\\Thursday-WorkingHours-Morning-WebAttacks.pcap_ISCX.csv"
df4 = pd.read_csv(datapath4, encoding=('ISO-8859-1'),low_memory=False)
datapath5 = "C:\\CICIDS\\Thursday-WorkingHours-Afternoon-Infilteration.pcap_ISCX.csv"
df5 = pd.read_csv(datapath5)
datapath6 = "C:\\CICIDS\\Friday-WorkingHours-Morning.pcap_ISCX.csv"
df6 = pd.read_csv(datapath6)
datapath7 = "C:\\CICIDS\\Friday-WorkingHours-Afternoon-PortScan.pcap_ISCX.csv"
df7 = pd.read_csv(datapath7)
datapath8 = "C:\\CICIDS\\Friday-WorkingHours-Afternoon-DDos.pcap_ISCX.csv"
df8 = pd.read_csv(datapath8)
pd.set_option('display.max_columns', None)
pd.set_option('display.max_rows', None)
nRowsRead = None
data = pd.concat([df1,df2])
del df1,df2
data = pd.concat([data,df3])
del df3
data = pd.concat([data,df4])
del df4
data = pd.concat([data,df5])
del df5
data = pd.concat([data,df6])
del df6
data = pd.concat([data,df7])
del df7
data = pd.concat ([data,df8])
del df8
data.head()
| Flow ID | Source IP | Source Port | Destination IP | Destination Port | Protocol | Timestamp | Flow Duration | Total Fwd Packets | Total Backward Packets | Total Length of Fwd Packets | Total Length of Bwd Packets | Fwd Packet Length Max | Fwd Packet Length Min | Fwd Packet Length Mean | Fwd Packet Length Std | Bwd Packet Length Max | Bwd Packet Length Min | Bwd Packet Length Mean | Bwd Packet Length Std | Flow Bytes/s | Flow Packets/s | Flow IAT Mean | Flow IAT Std | Flow IAT Max | Flow IAT Min | Fwd IAT Total | Fwd IAT Mean | Fwd IAT Std | Fwd IAT Max | Fwd IAT Min | Bwd IAT Total | Bwd IAT Mean | Bwd IAT Std | Bwd IAT Max | Bwd IAT Min | Fwd PSH Flags | Bwd PSH Flags | Fwd URG Flags | Bwd URG Flags | Fwd Header Length | Bwd Header Length | Fwd Packets/s | Bwd Packets/s | Min Packet Length | Max Packet Length | Packet Length Mean | Packet Length Std | Packet Length Variance | FIN Flag Count | SYN Flag Count | RST Flag Count | PSH Flag Count | ACK Flag Count | URG Flag Count | CWE Flag Count | ECE Flag Count | Down/Up Ratio | Average Packet Size | Avg Fwd Segment Size | Avg Bwd Segment Size | Fwd Header Length.1 | Fwd Avg Bytes/Bulk | Fwd Avg Packets/Bulk | Fwd Avg Bulk Rate | Bwd Avg Bytes/Bulk | Bwd Avg Packets/Bulk | Bwd Avg Bulk Rate | Subflow Fwd Packets | Subflow Fwd Bytes | Subflow Bwd Packets | Subflow Bwd Bytes | Init_Win_bytes_forward | Init_Win_bytes_backward | act_data_pkt_fwd | min_seg_size_forward | Active Mean | Active Std | Active Max | Active Min | Idle Mean | Idle Std | Idle Max | Idle Min | Label | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 192.168.10.5-8.254.250.126-49188-80-6 | 8.254.250.126 | 80 | 192.168.10.5 | 49188 | 6 | 3/7/2017 8:55 | 4 | 2 | 0 | 12.0 | 0.0 | 6 | 6 | 6.0 | 0.0 | 0 | 0 | 0.0 | 0.0 | 3000000.0 | 5.000000e+05 | 4.0 | 0.0 | 4.0 | 4.0 | 4.0 | 4.0 | 0.0 | 4.0 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 40 | 0 | 5.000000e+05 | 0.0 | 6 | 6 | 6.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 9.0 | 6.0 | 0.0 | 40 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 12 | 0 | 0 | 329 | -1 | 1 | 20 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | BENIGN |
| 1 | 192.168.10.5-8.254.250.126-49188-80-6 | 8.254.250.126 | 80 | 192.168.10.5 | 49188 | 6 | 3/7/2017 8:55 | 1 | 2 | 0 | 12.0 | 0.0 | 6 | 6 | 6.0 | 0.0 | 0 | 0 | 0.0 | 0.0 | 12000000.0 | 2.000000e+06 | 1.0 | 0.0 | 1.0 | 1.0 | 1.0 | 1.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 40 | 0 | 2.000000e+06 | 0.0 | 6 | 6 | 6.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 9.0 | 6.0 | 0.0 | 40 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 12 | 0 | 0 | 329 | -1 | 1 | 20 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | BENIGN |
| 2 | 192.168.10.5-8.254.250.126-49188-80-6 | 8.254.250.126 | 80 | 192.168.10.5 | 49188 | 6 | 3/7/2017 8:55 | 1 | 2 | 0 | 12.0 | 0.0 | 6 | 6 | 6.0 | 0.0 | 0 | 0 | 0.0 | 0.0 | 12000000.0 | 2.000000e+06 | 1.0 | 0.0 | 1.0 | 1.0 | 1.0 | 1.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 40 | 0 | 2.000000e+06 | 0.0 | 6 | 6 | 6.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 9.0 | 6.0 | 0.0 | 40 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 12 | 0 | 0 | 329 | -1 | 1 | 20 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | BENIGN |
| 3 | 192.168.10.5-8.254.250.126-49188-80-6 | 8.254.250.126 | 80 | 192.168.10.5 | 49188 | 6 | 3/7/2017 8:55 | 1 | 2 | 0 | 12.0 | 0.0 | 6 | 6 | 6.0 | 0.0 | 0 | 0 | 0.0 | 0.0 | 12000000.0 | 2.000000e+06 | 1.0 | 0.0 | 1.0 | 1.0 | 1.0 | 1.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 40 | 0 | 2.000000e+06 | 0.0 | 6 | 6 | 6.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 9.0 | 6.0 | 0.0 | 40 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 12 | 0 | 0 | 329 | -1 | 1 | 20 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | BENIGN |
| 4 | 192.168.10.14-8.253.185.121-49486-80-6 | 8.253.185.121 | 80 | 192.168.10.14 | 49486 | 6 | 3/7/2017 8:56 | 3 | 2 | 0 | 12.0 | 0.0 | 6 | 6 | 6.0 | 0.0 | 0 | 0 | 0.0 | 0.0 | 4000000.0 | 6.666667e+05 | 3.0 | 0.0 | 3.0 | 3.0 | 3.0 | 3.0 | 0.0 | 3.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 40 | 0 | 6.666667e+05 | 0.0 | 6 | 6 | 6.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 9.0 | 6.0 | 0.0 | 40 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 12 | 0 | 0 | 245 | -1 | 1 | 20 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | BENIGN |
nRow, nCol = data.shape
print(f'jumlah Baris sebanyak {nRow} baris; jumlah kolom sebanyak {nCol} kolom')
jumlah Baris sebanyak 2830743 baris; jumlah kolom sebanyak 85 kolom
data.info()
<class 'pandas.core.frame.DataFrame'> Int64Index: 2830743 entries, 0 to 225744 Data columns (total 85 columns): # Column Dtype --- ------ ----- 0 Flow ID object 1 Source IP object 2 Source Port int64 3 Destination IP object 4 Destination Port int64 5 Protocol int64 6 Timestamp object 7 Flow Duration int64 8 Total Fwd Packets int64 9 Total Backward Packets int64 10 Total Length of Fwd Packets float64 11 Total Length of Bwd Packets float64 12 Fwd Packet Length Max int64 13 Fwd Packet Length Min int64 14 Fwd Packet Length Mean float64 15 Fwd Packet Length Std float64 16 Bwd Packet Length Max int64 17 Bwd Packet Length Min int64 18 Bwd Packet Length Mean float64 19 Bwd Packet Length Std float64 20 Flow Bytes/s float64 21 Flow Packets/s float64 22 Flow IAT Mean float64 23 Flow IAT Std float64 24 Flow IAT Max float64 25 Flow IAT Min float64 26 Fwd IAT Total float64 27 Fwd IAT Mean float64 28 Fwd IAT Std float64 29 Fwd IAT Max float64 30 Fwd IAT Min float64 31 Bwd IAT Total float64 32 Bwd IAT Mean float64 33 Bwd IAT Std float64 34 Bwd IAT Max float64 35 Bwd IAT Min float64 36 Fwd PSH Flags int64 37 Bwd PSH Flags int64 38 Fwd URG Flags int64 39 Bwd URG Flags int64 40 Fwd Header Length int64 41 Bwd Header Length int64 42 Fwd Packets/s float64 43 Bwd Packets/s float64 44 Min Packet Length int64 45 Max Packet Length int64 46 Packet Length Mean float64 47 Packet Length Std float64 48 Packet Length Variance float64 49 FIN Flag Count int64 50 SYN Flag Count int64 51 RST Flag Count int64 52 PSH Flag Count int64 53 ACK Flag Count int64 54 URG Flag Count int64 55 CWE Flag Count int64 56 ECE Flag Count int64 57 Down/Up Ratio int64 58 Average Packet Size float64 59 Avg Fwd Segment Size float64 60 Avg Bwd Segment Size float64 61 Fwd Header Length.1 int64 62 Fwd Avg Bytes/Bulk int64 63 Fwd Avg Packets/Bulk int64 64 Fwd Avg Bulk Rate int64 65 Bwd Avg Bytes/Bulk int64 66 Bwd Avg Packets/Bulk int64 67 Bwd Avg Bulk Rate int64 68 Subflow Fwd Packets int64 69 Subflow Fwd Bytes int64 70 Subflow Bwd Packets int64 71 Subflow Bwd Bytes int64 72 Init_Win_bytes_forward int64 73 Init_Win_bytes_backward int64 74 act_data_pkt_fwd int64 75 min_seg_size_forward int64 76 Active Mean float64 77 Active Std float64 78 Active Max float64 79 Active Min float64 80 Idle Mean float64 81 Idle Std float64 82 Idle Max float64 83 Idle Min float64 84 Label object dtypes: float64(38), int64(42), object(5) memory usage: 1.8+ GB
kolom_label = data['Label'].value_counts()
kolom_label
BENIGN 2273097 DoS Hulk 231073 PortScan 158930 DDoS 128027 DoS GoldenEye 10293 FTP-Patator 7938 SSH-Patator 5897 DoS slowloris 5796 DoS Slowhttptest 5499 Bot 1966 Web Attack Brute Force 1507 Web Attack XSS 652 Infiltration 36 Web Attack Sql Injection 21 Heartbleed 11 Name: Label, dtype: int64
fig = go.Figure(go.Funnel(
y=kolom_label.index,
x=kolom_label.values,
))
fig.update_layout(
title="Funnel Chart",
margin=dict(l=0, r=0),
)
fig.show()
L = kolom_label.index
L
Index(['BENIGN', 'DoS Hulk', 'PortScan', 'DDoS', 'DoS GoldenEye',
'FTP-Patator', 'SSH-Patator', 'DoS slowloris', 'DoS Slowhttptest',
'Bot', 'Web Attack Brute Force', 'Web Attack XSS', 'Infiltration',
'Web Attack Sql Injection', 'Heartbleed'],
dtype='object')
kol_lab = data['Label']
kol_lab = pd.DataFrame(kol_lab)
unsur_yang_diubah = ['DoS Hulk', 'PortScan', 'DDoS', 'DoS GoldenEye',
'FTP-Patator', 'SSH-Patator', 'DoS slowloris', 'DoS Slowhttptest',
'Bot', 'Web Attack Brute Force', 'Web Attack XSS', 'Infiltration',
'Web Attack Sql Injection', 'Heartbleed']
for unsur in unsur_yang_diubah:
kol_lab['Label'] = kol_lab['Label'].replace(unsur, 'ATTACK')
ck = kol_lab['Label'].value_counts()
labels = ck.index
values = ck.values
fig = go.Figure(data=[go.Pie(labels=labels, values=values)])
fig.update_traces(
textinfo="percent+label",
marker=dict(
colors=['#636EFA', '#A7AAF7'],
line=dict(color='#FFFFFF', width=1)
)
)
fig.update_layout(title_text="Perbandingan antara Benign dan Attack")
fig.show()
# Menghitung jumlah NaN dalam setiap kolom
nan_count = data.isna().sum()
# Membuat DataFrame yang berisi informasi jumlah NaN per kolom
nan_info = pd.DataFrame({'Kolom': nan_count.index, 'Jumlah NaN': nan_count.values})
# Menampilkan keseluruhan DataFrame
print(nan_info)
Kolom Jumlah NaN 0 Flow ID 0 1 Source IP 0 2 Source Port 0 3 Destination IP 0 4 Destination Port 0 5 Protocol 0 6 Timestamp 0 7 Flow Duration 0 8 Total Fwd Packets 0 9 Total Backward Packets 0 10 Total Length of Fwd Packets 0 11 Total Length of Bwd Packets 0 12 Fwd Packet Length Max 0 13 Fwd Packet Length Min 0 14 Fwd Packet Length Mean 0 15 Fwd Packet Length Std 0 16 Bwd Packet Length Max 0 17 Bwd Packet Length Min 0 18 Bwd Packet Length Mean 0 19 Bwd Packet Length Std 0 20 Flow Bytes/s 1358 21 Flow Packets/s 0 22 Flow IAT Mean 0 23 Flow IAT Std 0 24 Flow IAT Max 0 25 Flow IAT Min 0 26 Fwd IAT Total 0 27 Fwd IAT Mean 0 28 Fwd IAT Std 0 29 Fwd IAT Max 0 30 Fwd IAT Min 0 31 Bwd IAT Total 0 32 Bwd IAT Mean 0 33 Bwd IAT Std 0 34 Bwd IAT Max 0 35 Bwd IAT Min 0 36 Fwd PSH Flags 0 37 Bwd PSH Flags 0 38 Fwd URG Flags 0 39 Bwd URG Flags 0 40 Fwd Header Length 0 41 Bwd Header Length 0 42 Fwd Packets/s 0 43 Bwd Packets/s 0 44 Min Packet Length 0 45 Max Packet Length 0 46 Packet Length Mean 0 47 Packet Length Std 0 48 Packet Length Variance 0 49 FIN Flag Count 0 50 SYN Flag Count 0 51 RST Flag Count 0 52 PSH Flag Count 0 53 ACK Flag Count 0 54 URG Flag Count 0 55 CWE Flag Count 0 56 ECE Flag Count 0 57 Down/Up Ratio 0 58 Average Packet Size 0 59 Avg Fwd Segment Size 0 60 Avg Bwd Segment Size 0 61 Fwd Header Length.1 0 62 Fwd Avg Bytes/Bulk 0 63 Fwd Avg Packets/Bulk 0 64 Fwd Avg Bulk Rate 0 65 Bwd Avg Bytes/Bulk 0 66 Bwd Avg Packets/Bulk 0 67 Bwd Avg Bulk Rate 0 68 Subflow Fwd Packets 0 69 Subflow Fwd Bytes 0 70 Subflow Bwd Packets 0 71 Subflow Bwd Bytes 0 72 Init_Win_bytes_forward 0 73 Init_Win_bytes_backward 0 74 act_data_pkt_fwd 0 75 min_seg_size_forward 0 76 Active Mean 0 77 Active Std 0 78 Active Max 0 79 Active Min 0 80 Idle Mean 0 81 Idle Std 0 82 Idle Max 0 83 Idle Min 0 84 Label 0
jumlah_nan_true = data.isna().sum().sum()
jumlah_nan_false = data[data.notna().all(axis=1)].shape[0]
print("Jumlah NaN dalam dataset:", jumlah_nan_true)
print("Jumlah non-NaN dalam dataset:", jumlah_nan_false)
Jumlah NaN dalam dataset: 1358 Jumlah non-NaN dalam dataset: 2829385
data_yg_mengandung_null = data[data.isnull().any(axis=1)]
mk = data_yg_mengandung_null['Label'].value_counts()
labels = mk.index
values = mk.values
fig = go.Figure(data=[go.Pie(labels=labels, values=values)])
fig.update_traces(
textinfo="percent+label",
marker=dict(
colors=['#90AFC5', '#336B87'],
line=dict(color='#FFFFFF', width=1)
)
)
fig.update_layout(title_text="_")
fig.show()
# Menghitung jumlah 'inf' dalam setiap kolom
inf_count = data.applymap(lambda x: str(x) == 'inf')
# Menggabungkan informasi jumlah 'inf' dengan nama kolom
inf_info = pd.DataFrame({'Kolom': inf_count.sum().index, 'Jumlah "inf"': inf_count.sum().values})
# Menampilkan keseluruhan DataFrame
print(inf_info)
Kolom Jumlah "inf" 0 Flow ID 0 1 Source IP 0 2 Source Port 0 3 Destination IP 0 4 Destination Port 0 5 Protocol 0 6 Timestamp 0 7 Flow Duration 0 8 Total Fwd Packets 0 9 Total Backward Packets 0 10 Total Length of Fwd Packets 0 11 Total Length of Bwd Packets 0 12 Fwd Packet Length Max 0 13 Fwd Packet Length Min 0 14 Fwd Packet Length Mean 0 15 Fwd Packet Length Std 0 16 Bwd Packet Length Max 0 17 Bwd Packet Length Min 0 18 Bwd Packet Length Mean 0 19 Bwd Packet Length Std 0 20 Flow Bytes/s 1509 21 Flow Packets/s 2867 22 Flow IAT Mean 0 23 Flow IAT Std 0 24 Flow IAT Max 0 25 Flow IAT Min 0 26 Fwd IAT Total 0 27 Fwd IAT Mean 0 28 Fwd IAT Std 0 29 Fwd IAT Max 0 30 Fwd IAT Min 0 31 Bwd IAT Total 0 32 Bwd IAT Mean 0 33 Bwd IAT Std 0 34 Bwd IAT Max 0 35 Bwd IAT Min 0 36 Fwd PSH Flags 0 37 Bwd PSH Flags 0 38 Fwd URG Flags 0 39 Bwd URG Flags 0 40 Fwd Header Length 0 41 Bwd Header Length 0 42 Fwd Packets/s 0 43 Bwd Packets/s 0 44 Min Packet Length 0 45 Max Packet Length 0 46 Packet Length Mean 0 47 Packet Length Std 0 48 Packet Length Variance 0 49 FIN Flag Count 0 50 SYN Flag Count 0 51 RST Flag Count 0 52 PSH Flag Count 0 53 ACK Flag Count 0 54 URG Flag Count 0 55 CWE Flag Count 0 56 ECE Flag Count 0 57 Down/Up Ratio 0 58 Average Packet Size 0 59 Avg Fwd Segment Size 0 60 Avg Bwd Segment Size 0 61 Fwd Header Length.1 0 62 Fwd Avg Bytes/Bulk 0 63 Fwd Avg Packets/Bulk 0 64 Fwd Avg Bulk Rate 0 65 Bwd Avg Bytes/Bulk 0 66 Bwd Avg Packets/Bulk 0 67 Bwd Avg Bulk Rate 0 68 Subflow Fwd Packets 0 69 Subflow Fwd Bytes 0 70 Subflow Bwd Packets 0 71 Subflow Bwd Bytes 0 72 Init_Win_bytes_forward 0 73 Init_Win_bytes_backward 0 74 act_data_pkt_fwd 0 75 min_seg_size_forward 0 76 Active Mean 0 77 Active Std 0 78 Active Max 0 79 Active Min 0 80 Idle Mean 0 81 Idle Std 0 82 Idle Max 0 83 Idle Min 0 84 Label 0
# mengubah data yang berkarakter 'inf' menjadi data yang bernilai inf
kolom_yg_mengandung_nilai_infinity = ['Flow Packets/s', 'Flow Bytes/s']
for kolom in kolom_yg_mengandung_nilai_infinity:
data[kolom] = data[kolom].replace('inf', float('inf'))
kolom_yang_infinity = np.isinf(data[kolom])
data_yg_mengandung_infinity = data[data[kolom].isin([np.inf, np.inf])]
# menggabungkan data Nan dan inf
data = data.replace([np.inf, -np.inf], np.nan)
mising_value = data[data.isnull().any(axis=1)]
non_missing_valua = data[data.notna().all(axis=1)].shape[0]
# perbandingan data yang missing dan non missing
ms = len(mising_value)
nms = non_missing_valua
print("Jumlah missing dalam dataset:", ms)
print("Jumlah non-missing dalam dataset:", nms)
Jumlah missing dalam dataset: 2867 Jumlah non-missing dalam dataset: 2827876
# Data
labels = ['Missing', 'non-Missing']
values = [ms, nms]
# Buat pie chart
fig = go.Figure(data=[go.Pie(labels=labels, values=values)])
# Menyesuaikan tampilan pie chart
fig.update_traces(
textinfo="percent+label",
marker=dict(
colors=["#f47a60", "#7fe7dc",],
line=dict(color='#FFFFFF', width=0.5)
)
)
fig.update_layout(title_text="missing and non missing value")
# Tampilkan pie chart
fig.show()
# membersihkan missing value
data_clean = data.dropna()
# data yang sudah bersih dari missing value
data_clean.shape
(2827876, 85)
data_clean.info()
<class 'pandas.core.frame.DataFrame'> Int64Index: 2827876 entries, 0 to 225744 Data columns (total 85 columns): # Column Dtype --- ------ ----- 0 Flow ID object 1 Source IP object 2 Source Port int64 3 Destination IP object 4 Destination Port int64 5 Protocol int64 6 Timestamp object 7 Flow Duration int64 8 Total Fwd Packets int64 9 Total Backward Packets int64 10 Total Length of Fwd Packets float64 11 Total Length of Bwd Packets float64 12 Fwd Packet Length Max int64 13 Fwd Packet Length Min int64 14 Fwd Packet Length Mean float64 15 Fwd Packet Length Std float64 16 Bwd Packet Length Max int64 17 Bwd Packet Length Min int64 18 Bwd Packet Length Mean float64 19 Bwd Packet Length Std float64 20 Flow Bytes/s float64 21 Flow Packets/s float64 22 Flow IAT Mean float64 23 Flow IAT Std float64 24 Flow IAT Max float64 25 Flow IAT Min float64 26 Fwd IAT Total float64 27 Fwd IAT Mean float64 28 Fwd IAT Std float64 29 Fwd IAT Max float64 30 Fwd IAT Min float64 31 Bwd IAT Total float64 32 Bwd IAT Mean float64 33 Bwd IAT Std float64 34 Bwd IAT Max float64 35 Bwd IAT Min float64 36 Fwd PSH Flags int64 37 Bwd PSH Flags int64 38 Fwd URG Flags int64 39 Bwd URG Flags int64 40 Fwd Header Length int64 41 Bwd Header Length int64 42 Fwd Packets/s float64 43 Bwd Packets/s float64 44 Min Packet Length int64 45 Max Packet Length int64 46 Packet Length Mean float64 47 Packet Length Std float64 48 Packet Length Variance float64 49 FIN Flag Count int64 50 SYN Flag Count int64 51 RST Flag Count int64 52 PSH Flag Count int64 53 ACK Flag Count int64 54 URG Flag Count int64 55 CWE Flag Count int64 56 ECE Flag Count int64 57 Down/Up Ratio int64 58 Average Packet Size float64 59 Avg Fwd Segment Size float64 60 Avg Bwd Segment Size float64 61 Fwd Header Length.1 int64 62 Fwd Avg Bytes/Bulk int64 63 Fwd Avg Packets/Bulk int64 64 Fwd Avg Bulk Rate int64 65 Bwd Avg Bytes/Bulk int64 66 Bwd Avg Packets/Bulk int64 67 Bwd Avg Bulk Rate int64 68 Subflow Fwd Packets int64 69 Subflow Fwd Bytes int64 70 Subflow Bwd Packets int64 71 Subflow Bwd Bytes int64 72 Init_Win_bytes_forward int64 73 Init_Win_bytes_backward int64 74 act_data_pkt_fwd int64 75 min_seg_size_forward int64 76 Active Mean float64 77 Active Std float64 78 Active Max float64 79 Active Min float64 80 Idle Mean float64 81 Idle Std float64 82 Idle Max float64 83 Idle Min float64 84 Label object dtypes: float64(38), int64(42), object(5) memory usage: 1.8+ GB
pt = data_clean['Protocol'].value_counts()
pt
6 1826704 17 999476 0 1696 Name: Protocol, dtype: int64
# membersihkan kolom yg tidak diperlukan
kolom_yg_dhapus = ['Flow ID', 'Source IP', 'Source Port', 'Destination IP', 'Protocol', 'Timestamp']
for kolomh in kolom_yg_dhapus :
del data_clean[kolomh]
data_clean.info()
<class 'pandas.core.frame.DataFrame'> Int64Index: 2827876 entries, 0 to 225744 Data columns (total 79 columns): # Column Dtype --- ------ ----- 0 Destination Port int64 1 Flow Duration int64 2 Total Fwd Packets int64 3 Total Backward Packets int64 4 Total Length of Fwd Packets float64 5 Total Length of Bwd Packets float64 6 Fwd Packet Length Max int64 7 Fwd Packet Length Min int64 8 Fwd Packet Length Mean float64 9 Fwd Packet Length Std float64 10 Bwd Packet Length Max int64 11 Bwd Packet Length Min int64 12 Bwd Packet Length Mean float64 13 Bwd Packet Length Std float64 14 Flow Bytes/s float64 15 Flow Packets/s float64 16 Flow IAT Mean float64 17 Flow IAT Std float64 18 Flow IAT Max float64 19 Flow IAT Min float64 20 Fwd IAT Total float64 21 Fwd IAT Mean float64 22 Fwd IAT Std float64 23 Fwd IAT Max float64 24 Fwd IAT Min float64 25 Bwd IAT Total float64 26 Bwd IAT Mean float64 27 Bwd IAT Std float64 28 Bwd IAT Max float64 29 Bwd IAT Min float64 30 Fwd PSH Flags int64 31 Bwd PSH Flags int64 32 Fwd URG Flags int64 33 Bwd URG Flags int64 34 Fwd Header Length int64 35 Bwd Header Length int64 36 Fwd Packets/s float64 37 Bwd Packets/s float64 38 Min Packet Length int64 39 Max Packet Length int64 40 Packet Length Mean float64 41 Packet Length Std float64 42 Packet Length Variance float64 43 FIN Flag Count int64 44 SYN Flag Count int64 45 RST Flag Count int64 46 PSH Flag Count int64 47 ACK Flag Count int64 48 URG Flag Count int64 49 CWE Flag Count int64 50 ECE Flag Count int64 51 Down/Up Ratio int64 52 Average Packet Size float64 53 Avg Fwd Segment Size float64 54 Avg Bwd Segment Size float64 55 Fwd Header Length.1 int64 56 Fwd Avg Bytes/Bulk int64 57 Fwd Avg Packets/Bulk int64 58 Fwd Avg Bulk Rate int64 59 Bwd Avg Bytes/Bulk int64 60 Bwd Avg Packets/Bulk int64 61 Bwd Avg Bulk Rate int64 62 Subflow Fwd Packets int64 63 Subflow Fwd Bytes int64 64 Subflow Bwd Packets int64 65 Subflow Bwd Bytes int64 66 Init_Win_bytes_forward int64 67 Init_Win_bytes_backward int64 68 act_data_pkt_fwd int64 69 min_seg_size_forward int64 70 Active Mean float64 71 Active Std float64 72 Active Max float64 73 Active Min float64 74 Idle Mean float64 75 Idle Std float64 76 Idle Max float64 77 Idle Min float64 78 Label object dtypes: float64(38), int64(40), object(1) memory usage: 1.7+ GB
# memeriksa data duplikat
data_dupl = data_clean[data_clean.duplicated(keep=False)]
dp = len(data_dupl)
print(dp)
430301
data_dupl.tail()
| Destination Port | Flow Duration | Total Fwd Packets | Total Backward Packets | Total Length of Fwd Packets | Total Length of Bwd Packets | Fwd Packet Length Max | Fwd Packet Length Min | Fwd Packet Length Mean | Fwd Packet Length Std | Bwd Packet Length Max | Bwd Packet Length Min | Bwd Packet Length Mean | Bwd Packet Length Std | Flow Bytes/s | Flow Packets/s | Flow IAT Mean | Flow IAT Std | Flow IAT Max | Flow IAT Min | Fwd IAT Total | Fwd IAT Mean | Fwd IAT Std | Fwd IAT Max | Fwd IAT Min | Bwd IAT Total | Bwd IAT Mean | Bwd IAT Std | Bwd IAT Max | Bwd IAT Min | Fwd PSH Flags | Bwd PSH Flags | Fwd URG Flags | Bwd URG Flags | Fwd Header Length | Bwd Header Length | Fwd Packets/s | Bwd Packets/s | Min Packet Length | Max Packet Length | Packet Length Mean | Packet Length Std | Packet Length Variance | FIN Flag Count | SYN Flag Count | RST Flag Count | PSH Flag Count | ACK Flag Count | URG Flag Count | CWE Flag Count | ECE Flag Count | Down/Up Ratio | Average Packet Size | Avg Fwd Segment Size | Avg Bwd Segment Size | Fwd Header Length.1 | Fwd Avg Bytes/Bulk | Fwd Avg Packets/Bulk | Fwd Avg Bulk Rate | Bwd Avg Bytes/Bulk | Bwd Avg Packets/Bulk | Bwd Avg Bulk Rate | Subflow Fwd Packets | Subflow Fwd Bytes | Subflow Bwd Packets | Subflow Bwd Bytes | Init_Win_bytes_forward | Init_Win_bytes_backward | act_data_pkt_fwd | min_seg_size_forward | Active Mean | Active Std | Active Max | Active Min | Idle Mean | Idle Std | Idle Max | Idle Min | Label | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 225687 | 137 | 4 | 2 | 0 | 124.0 | 0.0 | 62 | 62 | 62.0 | 0.0 | 0 | 0 | 0.0 | 0.0 | 3.100000e+07 | 500000.00000 | 4.000000 | 0.000000 | 4.0 | 4.0 | 4.0 | 4.0 | 0.0 | 4.0 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 64 | 0 | 500000.00000 | 0.00000 | 62 | 62 | 62.0 | 0.000000 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 93.00 | 62.0 | 0.0 | 64 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 124 | 0 | 0 | -1 | -1 | 1 | 32 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | BENIGN |
| 225696 | 53 | 184 | 2 | 2 | 84.0 | 310.0 | 42 | 42 | 42.0 | 0.0 | 155 | 155 | 155.0 | 0.0 | 2.141304e+06 | 21739.13043 | 61.333333 | 100.171520 | 177.0 | 3.0 | 3.0 | 3.0 | 0.0 | 3.0 | 3.0 | 4.0 | 4.0 | 0.0 | 4.0 | 4.0 | 0 | 0 | 0 | 0 | 64 | 64 | 10869.56522 | 10869.56522 | 42 | 155 | 87.2 | 61.892649 | 3830.7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 109.00 | 42.0 | 155.0 | 64 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 84 | 2 | 310 | -1 | -1 | 1 | 32 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | BENIGN |
| 225698 | 53 | 168 | 2 | 2 | 72.0 | 194.0 | 36 | 36 | 36.0 | 0.0 | 97 | 97 | 97.0 | 0.0 | 1.583333e+06 | 23809.52381 | 56.000000 | 57.419509 | 117.0 | 3.0 | 3.0 | 3.0 | 0.0 | 3.0 | 3.0 | 48.0 | 48.0 | 0.0 | 48.0 | 48.0 | 0 | 0 | 0 | 0 | 64 | 64 | 11904.76190 | 11904.76190 | 36 | 97 | 60.4 | 33.411076 | 1116.3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 75.50 | 36.0 | 97.0 | 64 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 72 | 2 | 194 | -1 | -1 | 1 | 32 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | BENIGN |
| 225706 | 53 | 176 | 2 | 2 | 142.0 | 242.0 | 71 | 71 | 71.0 | 0.0 | 121 | 121 | 121.0 | 0.0 | 2.181818e+06 | 22727.27273 | 58.666667 | 96.417495 | 170.0 | 3.0 | 3.0 | 3.0 | 0.0 | 3.0 | 3.0 | 3.0 | 3.0 | 0.0 | 3.0 | 3.0 | 0 | 0 | 0 | 0 | 40 | 40 | 11363.63636 | 11363.63636 | 71 | 121 | 91.0 | 27.386128 | 750.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 113.75 | 71.0 | 121.0 | 40 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 142 | 2 | 242 | -1 | -1 | 1 | 20 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | BENIGN |
| 225708 | 123 | 125 | 2 | 2 | 96.0 | 96.0 | 48 | 48 | 48.0 | 0.0 | 48 | 48 | 48.0 | 0.0 | 1.536000e+06 | 32000.00000 | 41.666667 | 66.972631 | 119.0 | 3.0 | 3.0 | 3.0 | 0.0 | 3.0 | 3.0 | 3.0 | 3.0 | 0.0 | 3.0 | 3.0 | 0 | 0 | 0 | 0 | 40 | 40 | 16000.00000 | 16000.00000 | 48 | 48 | 48.0 | 0.000000 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 60.00 | 48.0 | 48.0 | 40 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 96 | 2 | 96 | -1 | -1 | 1 | 20 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | BENIGN |
# memeriksa baris data duplikat
data_dupls = data_clean[data_clean.duplicated()]
# baris data yg duplikat
data_dupls.head()
| Destination Port | Flow Duration | Total Fwd Packets | Total Backward Packets | Total Length of Fwd Packets | Total Length of Bwd Packets | Fwd Packet Length Max | Fwd Packet Length Min | Fwd Packet Length Mean | Fwd Packet Length Std | Bwd Packet Length Max | Bwd Packet Length Min | Bwd Packet Length Mean | Bwd Packet Length Std | Flow Bytes/s | Flow Packets/s | Flow IAT Mean | Flow IAT Std | Flow IAT Max | Flow IAT Min | Fwd IAT Total | Fwd IAT Mean | Fwd IAT Std | Fwd IAT Max | Fwd IAT Min | Bwd IAT Total | Bwd IAT Mean | Bwd IAT Std | Bwd IAT Max | Bwd IAT Min | Fwd PSH Flags | Bwd PSH Flags | Fwd URG Flags | Bwd URG Flags | Fwd Header Length | Bwd Header Length | Fwd Packets/s | Bwd Packets/s | Min Packet Length | Max Packet Length | Packet Length Mean | Packet Length Std | Packet Length Variance | FIN Flag Count | SYN Flag Count | RST Flag Count | PSH Flag Count | ACK Flag Count | URG Flag Count | CWE Flag Count | ECE Flag Count | Down/Up Ratio | Average Packet Size | Avg Fwd Segment Size | Avg Bwd Segment Size | Fwd Header Length.1 | Fwd Avg Bytes/Bulk | Fwd Avg Packets/Bulk | Fwd Avg Bulk Rate | Bwd Avg Bytes/Bulk | Bwd Avg Packets/Bulk | Bwd Avg Bulk Rate | Subflow Fwd Packets | Subflow Fwd Bytes | Subflow Bwd Packets | Subflow Bwd Bytes | Init_Win_bytes_forward | Init_Win_bytes_backward | act_data_pkt_fwd | min_seg_size_forward | Active Mean | Active Std | Active Max | Active Min | Idle Mean | Idle Std | Idle Max | Idle Min | Label | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2 | 49188 | 1 | 2 | 0 | 12.0 | 0.0 | 6 | 6 | 6.0 | 0.000000 | 0 | 0 | 0.0 | 0.0 | 12000000.0 | 2000000.0 | 1.0 | 0.0 | 1.0 | 1.0 | 1.0 | 1.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 40 | 0 | 2000000.0 | 0.0 | 6 | 6 | 6.000000 | 0.000000 | 0.000000 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 9.0 | 6.0 | 0.0 | 40 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 12 | 0 | 0 | 329 | -1 | 1 | 20 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | BENIGN |
| 3 | 49188 | 1 | 2 | 0 | 12.0 | 0.0 | 6 | 6 | 6.0 | 0.000000 | 0 | 0 | 0.0 | 0.0 | 12000000.0 | 2000000.0 | 1.0 | 0.0 | 1.0 | 1.0 | 1.0 | 1.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 40 | 0 | 2000000.0 | 0.0 | 6 | 6 | 6.000000 | 0.000000 | 0.000000 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 9.0 | 6.0 | 0.0 | 40 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 12 | 0 | 0 | 329 | -1 | 1 | 20 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | BENIGN |
| 6 | 49486 | 1 | 2 | 0 | 12.0 | 0.0 | 6 | 6 | 6.0 | 0.000000 | 0 | 0 | 0.0 | 0.0 | 12000000.0 | 2000000.0 | 1.0 | 0.0 | 1.0 | 1.0 | 1.0 | 1.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 40 | 0 | 2000000.0 | 0.0 | 6 | 6 | 6.000000 | 0.000000 | 0.000000 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 9.0 | 6.0 | 0.0 | 40 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 12 | 0 | 0 | 245 | -1 | 1 | 20 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | BENIGN |
| 7 | 49486 | 1 | 2 | 0 | 12.0 | 0.0 | 6 | 6 | 6.0 | 0.000000 | 0 | 0 | 0.0 | 0.0 | 12000000.0 | 2000000.0 | 1.0 | 0.0 | 1.0 | 1.0 | 1.0 | 1.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 40 | 0 | 2000000.0 | 0.0 | 6 | 6 | 6.000000 | 0.000000 | 0.000000 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 9.0 | 6.0 | 0.0 | 40 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 12 | 0 | 0 | 245 | -1 | 1 | 20 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | BENIGN |
| 46 | 389 | 1 | 2 | 0 | 7.0 | 0.0 | 7 | 0 | 3.5 | 4.949747 | 0 | 0 | 0.0 | 0.0 | 7000000.0 | 2000000.0 | 1.0 | 0.0 | 1.0 | 1.0 | 1.0 | 1.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1 | 0 | 0 | 0 | 64 | 0 | 2000000.0 | 0.0 | 0 | 7 | 4.666667 | 4.041452 | 16.333333 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 7.0 | 3.5 | 0.0 | 64 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | 0 | 0 | 237 | -1 | 0 | 32 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | BENIGN |
# jumlah duplikat data dan non duplikat
data_dup = data_clean.duplicated().value_counts()
data_dup
False 2497676 True 330200 dtype: int64
# Data
labels = data_dup.index
values = data_dup.values
# Buat pie chart
fig = go.Figure(data=[go.Pie(labels=labels, values=values)])
# Menyesuaikan tampilan pie chart
fig.update_traces(
textinfo="percent+label",
marker=dict(
colors=["#DF678C", "#3D155F",],
line=dict(color='#FFFFFF', width=0.5)
)
)
fig.update_layout(title_text="duplikat & non duplikat")
# Tampilkan pie chart
fig.show()
# membersihkan data yg duplikat
data_clean.drop_duplicates(inplace=True)
C:\Users\ASUS\AppData\Local\Temp\ipykernel_13656\3747414899.py:2: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
data_clean.shape
(2497676, 79)
# hapus kolom duplikat
del data_clean['Fwd Header Length.1']
data_clean.shape
(2497676, 78)
data_clean.info()
<class 'pandas.core.frame.DataFrame'> Int64Index: 2497676 entries, 0 to 225744 Data columns (total 78 columns): # Column Dtype --- ------ ----- 0 Destination Port int64 1 Flow Duration int64 2 Total Fwd Packets int64 3 Total Backward Packets int64 4 Total Length of Fwd Packets float64 5 Total Length of Bwd Packets float64 6 Fwd Packet Length Max int64 7 Fwd Packet Length Min int64 8 Fwd Packet Length Mean float64 9 Fwd Packet Length Std float64 10 Bwd Packet Length Max int64 11 Bwd Packet Length Min int64 12 Bwd Packet Length Mean float64 13 Bwd Packet Length Std float64 14 Flow Bytes/s float64 15 Flow Packets/s float64 16 Flow IAT Mean float64 17 Flow IAT Std float64 18 Flow IAT Max float64 19 Flow IAT Min float64 20 Fwd IAT Total float64 21 Fwd IAT Mean float64 22 Fwd IAT Std float64 23 Fwd IAT Max float64 24 Fwd IAT Min float64 25 Bwd IAT Total float64 26 Bwd IAT Mean float64 27 Bwd IAT Std float64 28 Bwd IAT Max float64 29 Bwd IAT Min float64 30 Fwd PSH Flags int64 31 Bwd PSH Flags int64 32 Fwd URG Flags int64 33 Bwd URG Flags int64 34 Fwd Header Length int64 35 Bwd Header Length int64 36 Fwd Packets/s float64 37 Bwd Packets/s float64 38 Min Packet Length int64 39 Max Packet Length int64 40 Packet Length Mean float64 41 Packet Length Std float64 42 Packet Length Variance float64 43 FIN Flag Count int64 44 SYN Flag Count int64 45 RST Flag Count int64 46 PSH Flag Count int64 47 ACK Flag Count int64 48 URG Flag Count int64 49 CWE Flag Count int64 50 ECE Flag Count int64 51 Down/Up Ratio int64 52 Average Packet Size float64 53 Avg Fwd Segment Size float64 54 Avg Bwd Segment Size float64 55 Fwd Avg Bytes/Bulk int64 56 Fwd Avg Packets/Bulk int64 57 Fwd Avg Bulk Rate int64 58 Bwd Avg Bytes/Bulk int64 59 Bwd Avg Packets/Bulk int64 60 Bwd Avg Bulk Rate int64 61 Subflow Fwd Packets int64 62 Subflow Fwd Bytes int64 63 Subflow Bwd Packets int64 64 Subflow Bwd Bytes int64 65 Init_Win_bytes_forward int64 66 Init_Win_bytes_backward int64 67 act_data_pkt_fwd int64 68 min_seg_size_forward int64 69 Active Mean float64 70 Active Std float64 71 Active Max float64 72 Active Min float64 73 Idle Mean float64 74 Idle Std float64 75 Idle Max float64 76 Idle Min float64 77 Label object dtypes: float64(38), int64(39), object(1) memory usage: 1.5+ GB
korelasi_data = data_clean.corr()
C:\Users\ASUS\AppData\Local\Temp\ipykernel_13656\4212775778.py:1: FutureWarning: The default value of numeric_only in DataFrame.corr is deprecated. In a future version, it will default to False. Select only valid columns or specify the value of numeric_only to silence this warning.
korelasi_data
| Destination Port | Flow Duration | Total Fwd Packets | Total Backward Packets | Total Length of Fwd Packets | Total Length of Bwd Packets | Fwd Packet Length Max | Fwd Packet Length Min | Fwd Packet Length Mean | Fwd Packet Length Std | Bwd Packet Length Max | Bwd Packet Length Min | Bwd Packet Length Mean | Bwd Packet Length Std | Flow Bytes/s | Flow Packets/s | Flow IAT Mean | Flow IAT Std | Flow IAT Max | Flow IAT Min | Fwd IAT Total | Fwd IAT Mean | Fwd IAT Std | Fwd IAT Max | Fwd IAT Min | Bwd IAT Total | Bwd IAT Mean | Bwd IAT Std | Bwd IAT Max | Bwd IAT Min | Fwd PSH Flags | Bwd PSH Flags | Fwd URG Flags | Bwd URG Flags | Fwd Header Length | Bwd Header Length | Fwd Packets/s | Bwd Packets/s | Min Packet Length | Max Packet Length | Packet Length Mean | Packet Length Std | Packet Length Variance | FIN Flag Count | SYN Flag Count | RST Flag Count | PSH Flag Count | ACK Flag Count | URG Flag Count | CWE Flag Count | ECE Flag Count | Down/Up Ratio | Average Packet Size | Avg Fwd Segment Size | Avg Bwd Segment Size | Fwd Avg Bytes/Bulk | Fwd Avg Packets/Bulk | Fwd Avg Bulk Rate | Bwd Avg Bytes/Bulk | Bwd Avg Packets/Bulk | Bwd Avg Bulk Rate | Subflow Fwd Packets | Subflow Fwd Bytes | Subflow Bwd Packets | Subflow Bwd Bytes | Init_Win_bytes_forward | Init_Win_bytes_backward | act_data_pkt_fwd | min_seg_size_forward | Active Mean | Active Std | Active Max | Active Min | Idle Mean | Idle Std | Idle Max | Idle Min | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Destination Port | 1.000000 | -0.173877 | -0.004695 | -0.004394 | 0.009477 | -0.003419 | 0.090423 | -0.046065 | 0.136910 | 0.122524 | -0.214738 | -0.261911 | -0.240833 | -0.192450 | 0.070321 | 0.359653 | -0.114900 | -0.133540 | -0.132520 | -0.023600 | -0.173016 | -0.108227 | -0.112500 | -0.131217 | -0.056039 | -0.121358 | -0.076734 | -0.042569 | -0.062743 | -0.055626 | 0.234408 | NaN | 0.004436 | NaN | 0.000462 | 0.000768 | 0.348737 | 0.144848 | -0.253890 | -0.145416 | -0.173263 | -0.141429 | -0.078732 | -0.038278 | 0.234408 | -0.007201 | -0.220909 | 0.586633 | 0.525049 | 0.004436 | -0.007112 | 0.029136 | -0.174613 | 0.136910 | -0.240833 | NaN | NaN | NaN | NaN | NaN | NaN | -0.004695 | 0.009490 | -0.004394 | -0.003419 | -0.135038 | 0.205433 | -0.003574 | 0.001014 | -0.041190 | -0.048685 | -0.058775 | -0.027591 | -0.129542 | 0.006380 | -0.125236 | -0.131047 |
| Flow Duration | -0.173877 | 1.000000 | 0.020544 | 0.019366 | 0.063343 | 0.015981 | 0.262566 | -0.115018 | 0.133495 | 0.224078 | 0.484794 | -0.238513 | 0.447411 | 0.432548 | -0.024928 | -0.110335 | 0.534223 | 0.734430 | 0.779575 | 0.060380 | 0.998526 | 0.542581 | 0.720635 | 0.779318 | 0.209512 | 0.819623 | 0.408185 | 0.517280 | 0.579842 | 0.212468 | -0.017442 | NaN | -0.002680 | NaN | -0.000091 | -0.001042 | -0.100047 | -0.080310 | -0.246258 | 0.500428 | 0.416048 | 0.443989 | 0.270932 | 0.217935 | -0.017442 | 0.008007 | 0.177430 | 0.032749 | -0.118388 | -0.002680 | 0.007955 | -0.165489 | 0.393604 | 0.133495 | 0.447411 | NaN | NaN | NaN | NaN | NaN | NaN | 0.020544 | 0.063426 | 0.019366 | 0.015980 | 0.092673 | -0.035393 | 0.015709 | -0.001225 | 0.184577 | 0.238259 | 0.289546 | 0.116891 | 0.763741 | 0.240108 | 0.775365 | 0.733717 |
| Total Fwd Packets | -0.004695 | 0.020544 | 1.000000 | 0.999070 | 0.365510 | 0.996997 | 0.009047 | -0.003240 | -0.000279 | 0.001084 | 0.022528 | -0.006060 | 0.021099 | 0.006006 | 0.000390 | -0.002353 | -0.001398 | -0.000995 | 0.001822 | -0.000594 | 0.020213 | -0.001392 | -0.000371 | 0.001378 | -0.001303 | 0.023771 | -0.000906 | 0.000449 | 0.003066 | -0.001157 | 0.001881 | NaN | -0.000060 | NaN | 0.000476 | 0.013751 | -0.002146 | -0.001651 | -0.006772 | 0.021710 | 0.024218 | 0.011618 | 0.005111 | -0.001352 | 0.001881 | 0.000337 | 0.007011 | 0.001370 | -0.003818 | -0.000060 | 0.000335 | 0.000906 | 0.021842 | -0.000279 | 0.021099 | NaN | NaN | NaN | NaN | NaN | NaN | 1.000000 | 0.365992 | 0.999070 | 0.996987 | 0.003700 | -0.000680 | 0.887386 | -0.000181 | 0.039856 | 0.008195 | 0.030334 | 0.041227 | 0.001364 | 0.000664 | 0.001444 | 0.001229 |
| Total Backward Packets | -0.004394 | 0.019366 | 0.999070 | 1.000000 | 0.359457 | 0.994433 | 0.008742 | -0.002819 | -0.000632 | 0.000719 | 0.022322 | -0.005339 | 0.021223 | 0.005686 | 0.000337 | -0.002389 | -0.001741 | -0.001463 | 0.001369 | -0.000620 | 0.019016 | -0.001569 | -0.000895 | 0.000911 | -0.001172 | 0.023198 | -0.001060 | 0.000249 | 0.003151 | -0.001111 | 0.001674 | NaN | -0.000061 | NaN | 0.000757 | 0.013766 | -0.002240 | -0.001367 | -0.006133 | 0.021448 | 0.024638 | 0.011476 | 0.005084 | -0.001196 | 0.001674 | 0.000212 | 0.006444 | 0.001199 | -0.003174 | -0.000061 | 0.000211 | 0.003301 | 0.022271 | -0.000632 | 0.021223 | NaN | NaN | NaN | NaN | NaN | NaN | 0.999070 | 0.359939 | 1.000000 | 0.994424 | 0.003141 | -0.000680 | 0.882566 | 0.000021 | 0.038888 | 0.006308 | 0.028483 | 0.041227 | 0.000985 | 0.000353 | 0.001010 | 0.000905 |
| Total Length of Fwd Packets | 0.009477 | 0.063343 | 0.365510 | 0.359457 | 1.000000 | 0.353788 | 0.196177 | -0.001685 | 0.185030 | 0.158801 | 0.020569 | -0.027790 | 0.016281 | 0.007498 | 0.002235 | -0.011929 | 0.002595 | 0.012509 | 0.024700 | -0.003069 | 0.062527 | 0.004150 | 0.021071 | 0.024779 | -0.006195 | 0.075934 | 0.006395 | 0.034931 | 0.040256 | -0.005184 | 0.008675 | NaN | -0.000328 | NaN | -0.001337 | 0.005023 | -0.010684 | -0.009371 | -0.028447 | 0.074643 | 0.081216 | 0.057194 | 0.033710 | -0.005915 | 0.008675 | 0.004455 | 0.044400 | -0.003624 | -0.005221 | -0.000328 | 0.004444 | -0.011741 | 0.075875 | 0.185030 | 0.016281 | NaN | NaN | NaN | NaN | NaN | NaN | 0.365510 | 0.999999 | 0.359457 | 0.353789 | 0.030537 | 0.009925 | 0.407473 | -0.001192 | 0.100378 | 0.102714 | 0.125708 | 0.067722 | 0.020456 | 0.026350 | 0.023876 | 0.016475 |
| Total Length of Bwd Packets | -0.003419 | 0.015981 | 0.996997 | 0.994433 | 0.353788 | 1.000000 | 0.006393 | -0.002343 | -0.001673 | -0.000704 | 0.021817 | -0.004258 | 0.020533 | 0.005745 | 0.000531 | -0.001678 | -0.001659 | -0.001512 | 0.000805 | -0.000431 | 0.015665 | -0.001544 | -0.001048 | 0.000354 | -0.000948 | 0.018943 | -0.001320 | -0.000674 | 0.001712 | -0.000933 | 0.001641 | NaN | -0.000043 | NaN | 0.000751 | 0.013691 | -0.001564 | -0.001010 | -0.004886 | 0.020697 | 0.023292 | 0.011006 | 0.005715 | -0.000832 | 0.001641 | 0.000119 | 0.003757 | 0.002338 | -0.002558 | -0.000043 | 0.000118 | 0.002963 | 0.021142 | -0.001673 | 0.020533 | NaN | NaN | NaN | NaN | NaN | NaN | 0.996997 | 0.354267 | 0.994433 | 1.000000 | 0.001214 | -0.000775 | 0.883980 | 0.000020 | 0.035920 | 0.003396 | 0.024762 | 0.039051 | 0.000479 | 0.000001 | 0.000463 | 0.000471 |
| Fwd Packet Length Max | 0.090423 | 0.262566 | 0.009047 | 0.008742 | 0.196177 | 0.006393 | 1.000000 | -0.003958 | 0.888951 | 0.968518 | 0.083609 | -0.141929 | 0.063338 | 0.064996 | 0.036214 | -0.055766 | 0.063394 | 0.146505 | 0.191162 | -0.015749 | 0.258776 | 0.078039 | 0.215476 | 0.195259 | -0.029979 | 0.290660 | 0.061198 | 0.264467 | 0.252085 | -0.028605 | 0.005481 | NaN | -0.001736 | NaN | 0.000262 | 0.000604 | -0.048870 | -0.049320 | -0.145585 | 0.379118 | 0.330176 | 0.341987 | 0.252559 | -0.003216 | 0.005481 | 0.017716 | 0.224345 | -0.027329 | 0.021213 | -0.001736 | 0.017697 | -0.051007 | 0.321559 | 0.888951 | 0.063338 | NaN | NaN | NaN | NaN | NaN | NaN | 0.009047 | 0.196441 | 0.008742 | 0.006392 | 0.156469 | 0.015827 | 0.007325 | 0.000608 | 0.120296 | 0.087857 | 0.138441 | 0.102646 | 0.170950 | 0.175238 | 0.189487 | 0.146838 |
| Fwd Packet Length Min | -0.046065 | -0.115018 | -0.003240 | -0.002819 | -0.001685 | -0.002343 | -0.003958 | 1.000000 | 0.244083 | -0.078022 | -0.132643 | 0.295068 | -0.113585 | -0.133249 | 0.001568 | -0.050721 | -0.021362 | -0.057408 | -0.082683 | 0.002027 | -0.118837 | -0.013153 | -0.105829 | -0.089405 | 0.041925 | -0.080426 | 0.015063 | -0.053450 | -0.034992 | 0.039306 | 0.096519 | NaN | -0.001769 | NaN | -0.000711 | -0.000680 | -0.048249 | -0.025531 | 0.442349 | -0.115133 | -0.056330 | -0.102357 | -0.088492 | -0.051602 | 0.096519 | -0.005181 | -0.202421 | -0.106016 | 0.016190 | -0.001769 | -0.004667 | 0.293750 | -0.039194 | 0.244083 | -0.113585 | NaN | NaN | NaN | NaN | NaN | NaN | -0.003240 | -0.001687 | -0.002819 | -0.002343 | -0.146483 | -0.069907 | -0.002293 | -0.001226 | -0.036028 | -0.033065 | -0.045360 | -0.027925 | -0.077879 | -0.032239 | -0.080174 | -0.073646 |
| Fwd Packet Length Mean | 0.136910 | 0.133495 | -0.000279 | -0.000632 | 0.185030 | -0.001673 | 0.888951 | 0.244083 | 1.000000 | 0.897729 | -0.003252 | -0.039421 | -0.014037 | -0.006219 | 0.086402 | -0.042348 | 0.046005 | 0.111272 | 0.141295 | -0.012137 | 0.130055 | 0.063824 | 0.163039 | 0.144788 | -0.011616 | 0.168708 | 0.059601 | 0.232671 | 0.222980 | -0.009478 | 0.062477 | NaN | -0.001837 | NaN | -0.000054 | 0.000216 | -0.035481 | -0.045869 | -0.007167 | 0.287077 | 0.297016 | 0.279039 | 0.211376 | -0.015083 | 0.062477 | 0.012867 | 0.090603 | -0.006043 | 0.050233 | -0.001837 | 0.012979 | 0.031291 | 0.299053 | 1.000000 | -0.014037 | NaN | NaN | NaN | NaN | NaN | NaN | -0.000279 | 0.185273 | -0.000632 | -0.001673 | 0.046373 | -0.015123 | 0.000115 | 0.000121 | 0.090354 | 0.053958 | 0.090333 | 0.078874 | 0.119456 | 0.176843 | 0.140131 | 0.095581 |
| Fwd Packet Length Std | 0.122524 | 0.224078 | 0.001084 | 0.000719 | 0.158801 | -0.000704 | 0.968518 | -0.078022 | 0.897729 | 1.000000 | 0.075267 | -0.152695 | 0.055767 | 0.067081 | 0.076477 | -0.036426 | 0.066728 | 0.154312 | 0.195984 | -0.014720 | 0.221037 | 0.083256 | 0.229540 | 0.201368 | -0.029202 | 0.242056 | 0.059252 | 0.268584 | 0.250552 | -0.028041 | 0.015962 | NaN | -0.001481 | NaN | 0.000296 | 0.000500 | -0.029670 | -0.043763 | -0.167430 | 0.373314 | 0.325617 | 0.352335 | 0.277683 | 0.009741 | 0.015962 | 0.014562 | 0.197414 | 0.005842 | 0.036072 | -0.001481 | 0.014511 | -0.065195 | 0.321349 | 0.897729 | 0.055767 | NaN | NaN | NaN | NaN | NaN | NaN | 0.001084 | 0.159016 | 0.000719 | -0.000704 | 0.130897 | 0.014220 | 0.000792 | 0.000659 | 0.102895 | 0.065142 | 0.111241 | 0.091307 | 0.173865 | 0.188626 | 0.194163 | 0.148423 |
| Bwd Packet Length Max | -0.214738 | 0.484794 | 0.022528 | 0.022322 | 0.020569 | 0.021817 | 0.083609 | -0.132643 | -0.003252 | 0.075267 | 1.000000 | -0.241908 | 0.958121 | 0.982489 | -0.023866 | -0.111199 | 0.215699 | 0.476437 | 0.571233 | -0.027088 | 0.481245 | 0.204550 | 0.596189 | 0.566844 | -0.054015 | 0.210394 | 0.035590 | 0.279396 | 0.232750 | -0.052555 | -0.101014 | NaN | -0.002719 | NaN | 0.000651 | 0.001160 | -0.101143 | -0.079353 | -0.273644 | 0.947119 | 0.878858 | 0.938609 | 0.851858 | 0.247896 | -0.101014 | 0.004682 | 0.250973 | -0.019388 | -0.160616 | -0.002719 | 0.004638 | -0.045987 | 0.873778 | -0.003252 | 0.958121 | NaN | NaN | NaN | NaN | NaN | NaN | 0.022528 | 0.020597 | 0.022322 | 0.021818 | 0.109001 | -0.065538 | 0.016562 | 0.001260 | 0.069806 | 0.034391 | 0.071065 | 0.068274 | 0.568727 | 0.166687 | 0.573639 | 0.550812 |
| Bwd Packet Length Min | -0.261911 | -0.238513 | -0.006060 | -0.005339 | -0.027790 | -0.004258 | -0.141929 | 0.295068 | -0.039421 | -0.152695 | -0.241908 | 1.000000 | -0.172368 | -0.258305 | -0.019893 | -0.122928 | -0.093429 | -0.144991 | -0.186181 | -0.028828 | -0.234165 | -0.057569 | -0.202430 | -0.183145 | 0.044670 | -0.170404 | 0.001399 | -0.131367 | -0.098589 | 0.056262 | -0.092290 | NaN | -0.003377 | NaN | 0.000674 | -0.000668 | -0.118331 | -0.054627 | 0.718671 | -0.256496 | -0.188302 | -0.244136 | -0.186164 | -0.101384 | -0.092290 | -0.010027 | -0.386490 | -0.373400 | -0.193022 | -0.003377 | -0.010047 | 0.201233 | -0.162005 | -0.039421 | -0.172368 | NaN | NaN | NaN | NaN | NaN | NaN | -0.006060 | -0.027827 | -0.005339 | -0.004258 | -0.294326 | -0.144310 | -0.004303 | 0.000338 | -0.072800 | -0.062920 | -0.088482 | -0.057779 | -0.173027 | -0.059887 | -0.176364 | -0.165532 |
| Bwd Packet Length Mean | -0.240833 | 0.447411 | 0.021099 | 0.021223 | 0.016281 | 0.020533 | 0.063338 | -0.113585 | -0.014037 | 0.055767 | 0.958121 | -0.172368 | 1.000000 | 0.940673 | -0.025927 | -0.123698 | 0.203426 | 0.468383 | 0.567710 | -0.030053 | 0.444219 | 0.195257 | 0.585550 | 0.563101 | -0.050871 | 0.146164 | 0.015256 | 0.225366 | 0.191118 | -0.048424 | -0.110404 | NaN | -0.003053 | NaN | 0.000720 | 0.001127 | -0.113024 | -0.085670 | -0.226316 | 0.902921 | 0.920774 | 0.918088 | 0.793072 | 0.216194 | -0.110404 | 0.005541 | 0.228343 | -0.036439 | -0.179665 | -0.003053 | 0.005491 | -0.019834 | 0.915088 | -0.014037 | 1.000000 | NaN | NaN | NaN | NaN | NaN | NaN | 0.021099 | 0.016304 | 0.021223 | 0.020533 | 0.101161 | -0.079711 | 0.016107 | 0.001321 | 0.069529 | 0.027213 | 0.064798 | 0.070239 | 0.564833 | 0.166486 | 0.569780 | 0.547220 |
| Bwd Packet Length Std | -0.192450 | 0.432548 | 0.006006 | 0.005686 | 0.007498 | 0.005745 | 0.064996 | -0.133249 | -0.006219 | 0.067081 | 0.982489 | -0.258305 | 0.940673 | 1.000000 | -0.021619 | -0.099949 | 0.211041 | 0.460429 | 0.544535 | -0.024385 | 0.429372 | 0.196335 | 0.571939 | 0.540421 | -0.050387 | 0.152830 | 0.029509 | 0.250464 | 0.199286 | -0.049291 | -0.092766 | NaN | -0.002432 | NaN | 0.000575 | 0.000885 | -0.090708 | -0.072351 | -0.278569 | 0.931345 | 0.849175 | 0.941421 | 0.890249 | 0.230976 | -0.092766 | 0.004539 | 0.234821 | 0.007190 | -0.143655 | -0.002432 | 0.004499 | -0.060456 | 0.849090 | -0.006219 | 0.940673 | NaN | NaN | NaN | NaN | NaN | NaN | 0.006006 | 0.007509 | 0.005686 | 0.005745 | 0.088591 | -0.059690 | 0.004266 | 0.001166 | 0.053899 | 0.011257 | 0.044539 | 0.058490 | 0.539576 | 0.174381 | 0.546417 | 0.520634 |
| Flow Bytes/s | 0.070321 | -0.024928 | 0.000390 | 0.000337 | 0.002235 | 0.000531 | 0.036214 | 0.001568 | 0.086402 | 0.076477 | -0.023866 | -0.019893 | -0.025927 | -0.021619 | 1.000000 | 0.286854 | -0.016346 | -0.020526 | -0.021231 | -0.002990 | -0.024463 | -0.015429 | -0.019153 | -0.020843 | -0.006634 | -0.019441 | -0.011426 | -0.013320 | -0.015379 | -0.006534 | 0.172062 | NaN | -0.000294 | NaN | 0.000042 | 0.000069 | 0.299155 | 0.007225 | -0.003458 | -0.006724 | 0.052917 | 0.008492 | -0.003458 | -0.008180 | 0.172062 | -0.000865 | -0.032155 | 0.058816 | -0.015194 | -0.000294 | -0.000867 | -0.040797 | 0.082688 | 0.086402 | -0.025927 | NaN | NaN | NaN | NaN | NaN | NaN | 0.000390 | 0.002238 | 0.000337 | 0.000531 | -0.013384 | -0.012209 | 0.000395 | 0.000080 | -0.007024 | -0.005863 | -0.008362 | -0.005632 | -0.019896 | -0.006143 | -0.020180 | -0.019153 |
| Flow Packets/s | 0.359653 | -0.110335 | -0.002353 | -0.002389 | -0.011929 | -0.001678 | -0.055766 | -0.050721 | -0.042348 | -0.036426 | -0.111199 | -0.122928 | -0.123698 | -0.099949 | 0.286854 | 1.000000 | -0.072303 | -0.090795 | -0.093924 | -0.013226 | -0.108276 | -0.068243 | -0.084719 | -0.092203 | -0.029343 | -0.086078 | -0.050538 | -0.058925 | -0.068047 | -0.028900 | 0.287512 | NaN | 0.009848 | NaN | 0.000183 | 0.000319 | 0.980478 | 0.323595 | -0.102728 | -0.111327 | -0.113472 | -0.107088 | -0.071587 | -0.000590 | 0.287512 | -0.003859 | -0.098761 | 0.252128 | 0.001060 | 0.009848 | -0.003867 | -0.139139 | -0.108060 | -0.042348 | -0.123698 | NaN | NaN | NaN | NaN | NaN | NaN | -0.002353 | -0.011945 | -0.002389 | -0.001678 | -0.056660 | -0.019731 | -0.001811 | 0.000385 | -0.031215 | -0.025955 | -0.037091 | -0.025068 | -0.088013 | -0.027172 | -0.089270 | -0.084728 |
| Flow IAT Mean | -0.114900 | 0.534223 | -0.001398 | -0.001741 | 0.002595 | -0.001659 | 0.063394 | -0.021362 | 0.046005 | 0.066728 | 0.215699 | -0.093429 | 0.203426 | 0.211041 | -0.016346 | -0.072303 | 1.000000 | 0.710683 | 0.655964 | 0.630446 | 0.533936 | 0.901786 | 0.420316 | 0.654387 | 0.774186 | 0.347499 | 0.633170 | 0.258520 | 0.487839 | 0.573397 | 0.052233 | NaN | -0.001756 | NaN | 0.000309 | -0.000535 | -0.065560 | -0.052629 | -0.043553 | 0.219939 | 0.171331 | 0.201777 | 0.150775 | 0.146571 | 0.052233 | 0.002506 | -0.067291 | 0.095001 | -0.018948 | -0.001756 | 0.002479 | -0.088179 | 0.166480 | 0.046005 | 0.203426 | NaN | NaN | NaN | NaN | NaN | NaN | -0.001398 | 0.002599 | -0.001741 | -0.001659 | 0.007126 | -0.034407 | -0.001329 | -0.000133 | 0.062198 | 0.017327 | 0.048631 | 0.063218 | 0.606458 | 0.140279 | 0.608177 | 0.592728 |
| Flow IAT Std | -0.133540 | 0.734430 | -0.000995 | -0.001463 | 0.012509 | -0.001512 | 0.146505 | -0.057408 | 0.111272 | 0.154312 | 0.476437 | -0.144991 | 0.468383 | 0.460429 | -0.020526 | -0.090795 | 0.710683 | 1.000000 | 0.937527 | -0.020468 | 0.734124 | 0.827693 | 0.802494 | 0.935545 | 0.516701 | 0.453172 | 0.668173 | 0.480526 | 0.676758 | 0.544190 | -0.012990 | NaN | -0.002206 | NaN | 0.000301 | -0.001134 | -0.082328 | -0.066091 | -0.127675 | 0.486786 | 0.408233 | 0.455181 | 0.335277 | 0.301643 | -0.012990 | 0.009188 | -0.087143 | 0.122597 | -0.094329 | -0.002206 | 0.009140 | -0.094613 | 0.397865 | 0.111272 | 0.468383 | NaN | NaN | NaN | NaN | NaN | NaN | -0.000995 | 0.012526 | -0.001463 | -0.001512 | -0.070115 | -0.050498 | -0.001227 | -0.000618 | 0.083214 | 0.024070 | 0.060608 | 0.082539 | 0.930515 | 0.231572 | 0.934799 | 0.907703 |
| Flow IAT Max | -0.132520 | 0.779575 | 0.001822 | 0.001369 | 0.024700 | 0.000805 | 0.191162 | -0.082683 | 0.141295 | 0.195984 | 0.571233 | -0.186181 | 0.567710 | 0.544535 | -0.021231 | -0.093924 | 0.655964 | 0.937527 | 1.000000 | 0.096058 | 0.779266 | 0.677505 | 0.915170 | 0.998050 | 0.310213 | 0.432313 | 0.451983 | 0.546531 | 0.645291 | 0.302251 | -0.012342 | NaN | -0.002282 | NaN | 0.000063 | -0.001630 | -0.085165 | -0.068367 | -0.180426 | 0.586409 | 0.502672 | 0.546752 | 0.394554 | 0.341055 | -0.012342 | 0.013991 | -0.074431 | 0.161407 | -0.082381 | -0.002282 | 0.013932 | -0.119376 | 0.488410 | 0.141295 | 0.567710 | NaN | NaN | NaN | NaN | NaN | NaN | 0.001822 | 0.024733 | 0.001369 | 0.000805 | -0.047140 | -0.061369 | 0.000815 | -0.001274 | 0.125252 | 0.048668 | 0.093470 | 0.116705 | 0.979823 | 0.277631 | 0.989469 | 0.951167 |
| Flow IAT Min | -0.023600 | 0.060380 | -0.000594 | -0.000620 | -0.003069 | -0.000431 | -0.015749 | 0.002027 | -0.012137 | -0.014720 | -0.027088 | -0.028828 | -0.030053 | -0.024385 | -0.002990 | -0.013226 | 0.630446 | -0.020468 | 0.096058 | 1.000000 | 0.060928 | 0.286713 | -0.019882 | 0.095939 | 0.327465 | -0.020528 | -0.011101 | -0.014289 | -0.015928 | -0.005784 | 0.083166 | NaN | -0.000321 | NaN | 0.000074 | 0.000086 | -0.011993 | -0.009626 | 0.009958 | -0.027889 | -0.029999 | -0.028231 | -0.017913 | -0.008747 | 0.083166 | -0.000941 | -0.034335 | 0.074089 | 0.079958 | -0.000321 | -0.000943 | -0.051682 | -0.029348 | -0.012137 | -0.030053 | NaN | NaN | NaN | NaN | NaN | NaN | -0.000594 | -0.003073 | -0.000620 | -0.000431 | 0.072049 | -0.013908 | -0.000465 | 0.000143 | -0.000575 | -0.006295 | -0.004580 | 0.001776 | 0.027625 | -0.005357 | 0.026100 | 0.028741 |
| Fwd IAT Total | -0.173016 | 0.998526 | 0.020213 | 0.019016 | 0.062527 | 0.015665 | 0.258776 | -0.118837 | 0.130055 | 0.221037 | 0.481245 | -0.234165 | 0.444219 | 0.429372 | -0.024463 | -0.108276 | 0.533936 | 0.734124 | 0.779266 | 0.060928 | 1.000000 | 0.544410 | 0.722746 | 0.781780 | 0.210722 | 0.816417 | 0.407619 | 0.513841 | 0.577072 | 0.213596 | -0.016784 | NaN | -0.002630 | NaN | -0.000104 | -0.001067 | -0.098180 | -0.078812 | -0.241631 | 0.496834 | 0.411833 | 0.440394 | 0.269389 | 0.219590 | -0.016784 | 0.007056 | 0.168557 | 0.035212 | -0.119875 | -0.002630 | 0.007007 | -0.178021 | 0.389691 | 0.130055 | 0.444219 | NaN | NaN | NaN | NaN | NaN | NaN | 0.020213 | 0.062608 | 0.019016 | 0.015664 | 0.087390 | -0.035987 | 0.015410 | -0.001252 | 0.179723 | 0.234801 | 0.285145 | 0.112891 | 0.764251 | 0.239487 | 0.775785 | 0.734319 |
| Fwd IAT Mean | -0.108227 | 0.542581 | -0.001392 | -0.001569 | 0.004150 | -0.001544 | 0.078039 | -0.013153 | 0.063824 | 0.083256 | 0.204550 | -0.057569 | 0.195257 | 0.196335 | -0.015429 | -0.068243 | 0.901786 | 0.827693 | 0.677505 | 0.286713 | 0.544410 | 1.000000 | 0.412301 | 0.678761 | 0.885573 | 0.423321 | 0.848912 | 0.285349 | 0.623023 | 0.797318 | 0.017821 | NaN | -0.001658 | NaN | 0.000296 | -0.000567 | -0.061879 | -0.049676 | -0.006117 | 0.214360 | 0.176140 | 0.197457 | 0.144682 | 0.178633 | 0.017821 | 0.001162 | -0.080597 | 0.033475 | -0.049203 | -0.001658 | 0.001138 | -0.044783 | 0.171939 | 0.063824 | 0.195257 | NaN | NaN | NaN | NaN | NaN | NaN | -0.001392 | 0.004156 | -0.001569 | -0.001544 | -0.039458 | -0.039945 | -0.001271 | -0.000162 | 0.040172 | 0.009033 | 0.031303 | 0.042302 | 0.659086 | 0.122361 | 0.656209 | 0.648601 |
| Fwd IAT Std | -0.112500 | 0.720635 | -0.000371 | -0.000895 | 0.021071 | -0.001048 | 0.215476 | -0.105829 | 0.163039 | 0.229540 | 0.596189 | -0.202430 | 0.585550 | 0.571939 | -0.019153 | -0.084719 | 0.420316 | 0.802494 | 0.915170 | -0.019882 | 0.722746 | 0.412301 | 1.000000 | 0.917452 | -0.041289 | 0.374843 | 0.193718 | 0.627588 | 0.541485 | -0.008436 | -0.022960 | NaN | -0.002058 | NaN | 0.000254 | -0.001514 | -0.076818 | -0.061668 | -0.218748 | 0.619797 | 0.528341 | 0.583181 | 0.427877 | 0.419664 | -0.022960 | 0.010745 | -0.071075 | 0.166999 | -0.079364 | -0.002058 | 0.010695 | -0.135619 | 0.514999 | 0.163039 | 0.585550 | NaN | NaN | NaN | NaN | NaN | NaN | -0.000371 | 0.021100 | -0.000895 | -0.001048 | -0.059379 | -0.045067 | -0.000849 | -0.000962 | 0.090564 | 0.028004 | 0.067024 | 0.089115 | 0.903052 | 0.276370 | 0.914131 | 0.873687 |
| Fwd IAT Max | -0.131217 | 0.779318 | 0.001378 | 0.000911 | 0.024779 | 0.000354 | 0.195259 | -0.089405 | 0.144788 | 0.201368 | 0.566844 | -0.183145 | 0.563101 | 0.540421 | -0.020843 | -0.092203 | 0.654387 | 0.935545 | 0.998050 | 0.095939 | 0.781780 | 0.678761 | 0.917452 | 1.000000 | 0.310263 | 0.432504 | 0.451149 | 0.544457 | 0.643445 | 0.302053 | -0.012292 | NaN | -0.002240 | NaN | 0.000054 | -0.001644 | -0.083605 | -0.067116 | -0.177265 | 0.584441 | 0.498768 | 0.544220 | 0.393237 | 0.340811 | -0.012292 | 0.013032 | -0.079402 | 0.162294 | -0.083644 | -0.002240 | 0.012975 | -0.133872 | 0.484636 | 0.144788 | 0.563101 | NaN | NaN | NaN | NaN | NaN | NaN | 0.001378 | 0.024812 | 0.000911 | 0.000354 | -0.050468 | -0.061873 | 0.000413 | -0.001288 | 0.122382 | 0.048128 | 0.091823 | 0.113837 | 0.978194 | 0.283097 | 0.988615 | 0.948741 |
| Fwd IAT Min | -0.056039 | 0.209512 | -0.001303 | -0.001172 | -0.006195 | -0.000948 | -0.029979 | 0.041925 | -0.011616 | -0.029202 | -0.054015 | 0.044670 | -0.050871 | -0.050387 | -0.006634 | -0.029343 | 0.774186 | 0.516701 | 0.310213 | 0.327465 | 0.210722 | 0.885573 | -0.041289 | 0.310263 | 1.000000 | 0.223989 | 0.819203 | -0.024246 | 0.404734 | 0.883639 | 0.029745 | NaN | -0.000713 | NaN | 0.000158 | 0.000121 | -0.026606 | -0.021359 | 0.109753 | -0.056666 | -0.050857 | -0.056890 | -0.039587 | -0.022963 | 0.029745 | -0.002087 | -0.079892 | -0.024797 | -0.009693 | -0.000713 | -0.002091 | 0.023090 | -0.048829 | -0.011616 | -0.050871 | NaN | NaN | NaN | NaN | NaN | NaN | -0.001303 | -0.006203 | -0.001172 | -0.000948 | -0.026902 | -0.029565 | -0.000942 | 0.000231 | -0.003924 | -0.013523 | -0.011678 | 0.000756 | 0.296815 | -0.005973 | 0.286999 | 0.301006 |
| Bwd IAT Total | -0.121358 | 0.819623 | 0.023771 | 0.023198 | 0.075934 | 0.018943 | 0.290660 | -0.080426 | 0.168708 | 0.242056 | 0.210394 | -0.170404 | 0.146164 | 0.152830 | -0.019441 | -0.086078 | 0.347499 | 0.453172 | 0.432313 | -0.020528 | 0.816417 | 0.423321 | 0.374843 | 0.432504 | 0.223989 | 1.000000 | 0.507386 | 0.640386 | 0.719447 | 0.266906 | 0.000736 | NaN | -0.002091 | NaN | 0.000316 | -0.001544 | -0.078051 | -0.062652 | -0.175996 | 0.248343 | 0.204580 | 0.201779 | 0.077077 | 0.247290 | 0.000736 | -0.004204 | 0.274660 | -0.158978 | -0.087183 | -0.002091 | -0.004221 | -0.055595 | 0.184908 | 0.168708 | 0.146164 | NaN | NaN | NaN | NaN | NaN | NaN | 0.023771 | 0.076033 | 0.023198 | 0.018943 | 0.139103 | -0.015310 | 0.018962 | -0.001235 | 0.142568 | 0.263626 | 0.283041 | 0.066683 | 0.435497 | 0.113610 | 0.439590 | 0.419117 |
| Bwd IAT Mean | -0.076734 | 0.408185 | -0.000906 | -0.001060 | 0.006395 | -0.001320 | 0.061198 | 0.015063 | 0.059601 | 0.059252 | 0.035590 | 0.001399 | 0.015256 | 0.029509 | -0.011426 | -0.050538 | 0.633170 | 0.668173 | 0.451983 | -0.011101 | 0.407619 | 0.848912 | 0.193718 | 0.451149 | 0.819203 | 0.507386 | 1.000000 | 0.322247 | 0.706139 | 0.933072 | 0.042307 | NaN | -0.001228 | NaN | 0.000195 | -0.000787 | -0.045825 | -0.036787 | 0.042036 | 0.049088 | 0.033385 | 0.039584 | 0.021714 | 0.136021 | 0.042307 | -0.003015 | -0.022734 | -0.077806 | -0.056729 | -0.001228 | -0.003025 | 0.017867 | 0.031320 | 0.059601 | 0.015256 | NaN | NaN | NaN | NaN | NaN | NaN | -0.000906 | 0.006404 | -0.001060 | -0.001320 | -0.026021 | -0.033781 | -0.000689 | -0.000462 | 0.042852 | 0.068736 | 0.055256 | 0.017910 | 0.457347 | 0.075397 | 0.456566 | 0.451125 |
| Bwd IAT Std | -0.042569 | 0.517280 | 0.000449 | 0.000249 | 0.034931 | -0.000674 | 0.264467 | -0.053450 | 0.232671 | 0.268584 | 0.279396 | -0.131367 | 0.225366 | 0.250464 | -0.013320 | -0.058925 | 0.258520 | 0.480526 | 0.546531 | -0.014289 | 0.513841 | 0.285349 | 0.627588 | 0.544457 | -0.024246 | 0.640386 | 0.322247 | 1.000000 | 0.848688 | -0.013666 | -0.008086 | NaN | -0.001431 | NaN | 0.000081 | -0.002878 | -0.053430 | -0.042892 | -0.140355 | 0.334834 | 0.286158 | 0.310334 | 0.210644 | 0.546485 | -0.008086 | -0.002556 | 0.046698 | -0.092751 | -0.026978 | -0.001431 | -0.002568 | 0.021594 | 0.276199 | 0.232671 | 0.225366 | NaN | NaN | NaN | NaN | NaN | NaN | 0.000449 | 0.034978 | 0.000249 | -0.000674 | 0.012386 | -0.035120 | 0.000255 | -0.002237 | 0.086474 | 0.092368 | 0.094847 | 0.057352 | 0.543609 | 0.158919 | 0.551093 | 0.526289 |
| Bwd IAT Max | -0.062743 | 0.579842 | 0.003066 | 0.003151 | 0.040256 | 0.001712 | 0.252085 | -0.034992 | 0.222980 | 0.250552 | 0.232750 | -0.098589 | 0.191118 | 0.199286 | -0.015379 | -0.068047 | 0.487839 | 0.676758 | 0.645291 | -0.015928 | 0.577072 | 0.623023 | 0.541485 | 0.643445 | 0.404734 | 0.719447 | 0.706139 | 0.848688 | 1.000000 | 0.466697 | 0.016430 | NaN | -0.001653 | NaN | 0.000133 | -0.002821 | -0.061701 | -0.049531 | -0.085644 | 0.287112 | 0.254196 | 0.260393 | 0.168089 | 0.471303 | 0.016430 | -0.002833 | 0.024180 | -0.103662 | -0.039886 | -0.001653 | -0.002848 | 0.041691 | 0.243654 | 0.222980 | 0.191118 | NaN | NaN | NaN | NaN | NaN | NaN | 0.003066 | 0.040309 | 0.003151 | 0.001712 | -0.004400 | -0.044417 | 0.002418 | -0.002159 | 0.117111 | 0.103540 | 0.113877 | 0.084741 | 0.645118 | 0.167263 | 0.650946 | 0.627913 |
| Bwd IAT Min | -0.055626 | 0.212468 | -0.001157 | -0.001111 | -0.005184 | -0.000933 | -0.028605 | 0.039306 | -0.009478 | -0.028041 | -0.052555 | 0.056262 | -0.048424 | -0.049291 | -0.006534 | -0.028900 | 0.573397 | 0.544190 | 0.302251 | -0.005784 | 0.213596 | 0.797318 | -0.008436 | 0.302053 | 0.883639 | 0.266906 | 0.933072 | -0.013666 | 0.466697 | 1.000000 | 0.047318 | NaN | -0.000702 | NaN | 0.000154 | 0.000116 | -0.026205 | -0.021037 | 0.103354 | -0.055281 | -0.048096 | -0.055212 | -0.038980 | -0.021427 | 0.047318 | -0.002055 | -0.071367 | -0.040326 | -0.041718 | -0.000702 | -0.002059 | 0.029533 | -0.046506 | -0.009478 | -0.048424 | NaN | NaN | NaN | NaN | NaN | NaN | -0.001157 | -0.005191 | -0.001111 | -0.000933 | -0.049055 | -0.025171 | -0.000810 | 0.000212 | 0.013216 | 0.022748 | 0.009128 | 0.002127 | 0.309323 | 0.024993 | 0.305247 | 0.309315 |
| Fwd PSH Flags | 0.234408 | -0.017442 | 0.001881 | 0.001674 | 0.008675 | 0.001641 | 0.005481 | 0.096519 | 0.062477 | 0.015962 | -0.101014 | -0.092290 | -0.110404 | -0.092766 | 0.172062 | 0.287512 | 0.052233 | -0.012990 | -0.012342 | 0.083166 | -0.016784 | 0.017821 | -0.022960 | -0.012292 | 0.029745 | 0.000736 | 0.042307 | -0.008086 | 0.016430 | 0.047318 | 1.000000 | NaN | 0.024965 | NaN | 0.000302 | 0.000438 | 0.305757 | -0.022194 | -0.098607 | -0.084142 | -0.072491 | -0.077614 | -0.059973 | -0.041456 | 1.000000 | -0.003758 | -0.148460 | 0.335648 | -0.014234 | 0.024965 | -0.003542 | -0.150404 | -0.066209 | 0.062477 | -0.110404 | NaN | NaN | NaN | NaN | NaN | NaN | 0.001881 | 0.008682 | 0.001674 | 0.001640 | -0.052450 | -0.044321 | 0.001992 | 0.000616 | 0.003335 | 0.006791 | 0.003066 | -0.001909 | -0.029506 | 0.017559 | -0.025800 | -0.032386 |
| Bwd PSH Flags | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| Fwd URG Flags | 0.004436 | -0.002680 | -0.000060 | -0.000061 | -0.000328 | -0.000043 | -0.001736 | -0.001769 | -0.001837 | -0.001481 | -0.002719 | -0.003377 | -0.003053 | -0.002432 | -0.000294 | 0.009848 | -0.001756 | -0.002206 | -0.002282 | -0.000321 | -0.002630 | -0.001658 | -0.002058 | -0.002240 | -0.000713 | -0.002091 | -0.001228 | -0.001431 | -0.001653 | -0.000702 | 0.024965 | NaN | 1.000000 | NaN | 0.000007 | 0.000009 | 0.010421 | -0.000495 | -0.003692 | -0.002850 | -0.003395 | -0.002839 | -0.001788 | -0.001035 | 0.024965 | -0.000094 | -0.000776 | -0.003819 | 0.016806 | 1.000000 | -0.000094 | -0.004252 | -0.003483 | -0.001837 | -0.003053 | NaN | NaN | NaN | NaN | NaN | NaN | -0.000060 | -0.000329 | -0.000061 | -0.000043 | 0.016519 | -0.001421 | -0.000051 | 0.000015 | -0.000758 | -0.000630 | -0.000901 | -0.000609 | -0.002138 | -0.000660 | -0.002168 | -0.002058 |
| Bwd URG Flags | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| Fwd Header Length | 0.000462 | -0.000091 | 0.000476 | 0.000757 | -0.001337 | 0.000751 | 0.000262 | -0.000711 | -0.000054 | 0.000296 | 0.000651 | 0.000674 | 0.000720 | 0.000575 | 0.000042 | 0.000183 | 0.000309 | 0.000301 | 0.000063 | 0.000074 | -0.000104 | 0.000296 | 0.000254 | 0.000054 | 0.000158 | 0.000316 | 0.000195 | 0.000081 | 0.000133 | 0.000154 | 0.000302 | NaN | 0.000007 | NaN | 1.000000 | 0.069218 | 0.000151 | 0.000210 | -0.001820 | 0.000630 | 0.000515 | 0.000649 | 0.000423 | 0.000241 | 0.000302 | 0.000022 | 0.000876 | 0.000895 | 0.000443 | 0.000007 | 0.000022 | 0.001153 | 0.000551 | -0.000054 | 0.000720 | NaN | NaN | NaN | NaN | NaN | NaN | 0.000476 | -0.001339 | 0.000757 | 0.000751 | 0.000668 | 0.000332 | 0.000339 | 0.566449 | -0.001450 | -0.002219 | -0.001723 | -0.000350 | 0.000213 | -0.000589 | 0.000079 | 0.000320 |
| Bwd Header Length | 0.000768 | -0.001042 | 0.013751 | 0.013766 | 0.005023 | 0.013691 | 0.000604 | -0.000680 | 0.000216 | 0.000500 | 0.001160 | -0.000668 | 0.001127 | 0.000885 | 0.000069 | 0.000319 | -0.000535 | -0.001134 | -0.001630 | 0.000086 | -0.001067 | -0.000567 | -0.001514 | -0.001644 | 0.000121 | -0.001544 | -0.000787 | -0.002878 | -0.002821 | 0.000116 | 0.000438 | NaN | 0.000009 | NaN | 0.069218 | 1.000000 | 0.000316 | 0.000099 | -0.001784 | 0.001192 | 0.001191 | 0.001065 | 0.000660 | 0.000323 | 0.000438 | 0.000033 | 0.001324 | 0.001251 | 0.000571 | 0.000009 | 0.000033 | -0.000656 | 0.001167 | 0.000216 | 0.001127 | NaN | NaN | NaN | NaN | NaN | NaN | 0.013751 | 0.005030 | 0.013766 | 0.013691 | 0.001000 | 0.000452 | 0.012127 | 0.679353 | -0.006921 | -0.004195 | -0.005386 | -0.005669 | -0.001090 | -0.004552 | -0.001677 | -0.000466 |
| Fwd Packets/s | 0.348737 | -0.100047 | -0.002146 | -0.002240 | -0.010684 | -0.001564 | -0.048870 | -0.048249 | -0.035481 | -0.029670 | -0.101143 | -0.118331 | -0.113024 | -0.090708 | 0.299155 | 0.980478 | -0.065560 | -0.082328 | -0.085165 | -0.011993 | -0.098180 | -0.061879 | -0.076818 | -0.083605 | -0.026606 | -0.078051 | -0.045825 | -0.053430 | -0.061701 | -0.026205 | 0.305757 | NaN | 0.010421 | NaN | 0.000151 | 0.000316 | 1.000000 | 0.141911 | -0.097172 | -0.100533 | -0.100771 | -0.096198 | -0.064704 | -0.001940 | 0.305757 | -0.003500 | -0.102175 | 0.247413 | -0.028778 | 0.010421 | -0.003508 | -0.165589 | -0.094873 | -0.035481 | -0.113024 | NaN | NaN | NaN | NaN | NaN | NaN | -0.002146 | -0.010698 | -0.002240 | -0.001564 | -0.054346 | -0.031991 | -0.001662 | 0.000339 | -0.028306 | -0.023534 | -0.033633 | -0.022732 | -0.079806 | -0.024638 | -0.080945 | -0.076826 |
| Bwd Packets/s | 0.144848 | -0.080310 | -0.001651 | -0.001367 | -0.009371 | -0.001010 | -0.049320 | -0.025531 | -0.045869 | -0.043763 | -0.079353 | -0.054627 | -0.085670 | -0.072351 | 0.007225 | 0.323595 | -0.052629 | -0.066091 | -0.068367 | -0.009626 | -0.078812 | -0.049676 | -0.061668 | -0.067116 | -0.021359 | -0.062652 | -0.036787 | -0.042892 | -0.049531 | -0.021037 | -0.022194 | NaN | -0.000495 | NaN | 0.000210 | 0.000099 | 0.141911 | 1.000000 | -0.054591 | -0.083171 | -0.093545 | -0.082607 | -0.053178 | 0.009695 | -0.022194 | -0.002805 | -0.008410 | 0.089121 | 0.150957 | -0.000495 | -0.002809 | 0.100724 | -0.094695 | -0.045869 | -0.085670 | NaN | NaN | NaN | NaN | NaN | NaN | -0.001651 | -0.009384 | -0.001367 | -0.001010 | -0.025384 | 0.059560 | -0.001215 | 0.000332 | -0.022713 | -0.018891 | -0.026992 | -0.018238 | -0.064066 | -0.019779 | -0.064981 | -0.061674 |
| Min Packet Length | -0.253890 | -0.246258 | -0.006772 | -0.006133 | -0.028447 | -0.004886 | -0.145585 | 0.442349 | -0.007167 | -0.167430 | -0.273644 | 0.718671 | -0.226316 | -0.278569 | -0.003458 | -0.102728 | -0.043553 | -0.127675 | -0.180426 | 0.009958 | -0.241631 | -0.006117 | -0.218748 | -0.177265 | 0.109753 | -0.175996 | 0.042036 | -0.140355 | -0.085644 | 0.103354 | -0.098607 | NaN | -0.003692 | NaN | -0.001820 | -0.001784 | -0.097172 | -0.054591 | 1.000000 | -0.286520 | -0.214086 | -0.284081 | -0.203536 | -0.113823 | -0.098607 | -0.010812 | -0.421720 | -0.366515 | -0.169564 | -0.003692 | -0.010830 | 0.201903 | -0.184653 | -0.007167 | -0.226316 | NaN | NaN | NaN | NaN | NaN | NaN | -0.006772 | -0.028485 | -0.006133 | -0.004886 | -0.308955 | -0.154049 | -0.004798 | -0.003179 | -0.075490 | -0.068996 | -0.095010 | -0.058664 | -0.169599 | -0.066233 | -0.174032 | -0.160977 |
| Max Packet Length | -0.145416 | 0.500428 | 0.021710 | 0.021448 | 0.074643 | 0.020697 | 0.379118 | -0.115133 | 0.287077 | 0.373314 | 0.947119 | -0.256496 | 0.902921 | 0.931345 | -0.006724 | -0.111327 | 0.219939 | 0.486786 | 0.586409 | -0.027889 | 0.496834 | 0.214360 | 0.619797 | 0.584441 | -0.056666 | 0.248343 | 0.049088 | 0.334834 | 0.287112 | -0.055281 | -0.084142 | NaN | -0.002850 | NaN | 0.000630 | 0.001192 | -0.100533 | -0.083171 | -0.286520 | 1.000000 | 0.916385 | 0.984006 | 0.895125 | 0.230591 | -0.084142 | 0.005077 | 0.258841 | 0.000528 | -0.124614 | -0.002850 | 0.005044 | -0.048419 | 0.911602 | 0.287077 | 0.902921 | NaN | NaN | NaN | NaN | NaN | NaN | 0.021710 | 0.074744 | 0.021448 | 0.020698 | 0.110797 | -0.061078 | 0.016049 | 0.001273 | 0.091808 | 0.040539 | 0.088518 | 0.090026 | 0.576558 | 0.221699 | 0.588717 | 0.550961 |
| Packet Length Mean | -0.173263 | 0.416048 | 0.024218 | 0.024638 | 0.081216 | 0.023292 | 0.330176 | -0.056330 | 0.297016 | 0.325617 | 0.878858 | -0.188302 | 0.920774 | 0.849175 | 0.052917 | -0.113472 | 0.171331 | 0.408233 | 0.502672 | -0.029999 | 0.411833 | 0.176140 | 0.528341 | 0.498768 | -0.050857 | 0.204580 | 0.033385 | 0.286158 | 0.254196 | -0.048096 | -0.072491 | NaN | -0.003395 | NaN | 0.000515 | 0.001191 | -0.100771 | -0.093545 | -0.214086 | 0.916385 | 1.000000 | 0.942617 | 0.805415 | 0.213323 | -0.072491 | 0.007961 | 0.289260 | -0.079493 | -0.163219 | -0.003395 | 0.007935 | 0.034402 | 0.997822 | 0.297016 | 0.920774 | NaN | NaN | NaN | NaN | NaN | NaN | 0.024218 | 0.081324 | 0.024638 | 0.023293 | 0.131104 | -0.077936 | 0.018735 | 0.001124 | 0.084901 | 0.053805 | 0.090696 | 0.076592 | 0.498346 | 0.151412 | 0.503543 | 0.481919 |
| Packet Length Std | -0.141429 | 0.443989 | 0.011618 | 0.011476 | 0.057194 | 0.011006 | 0.341987 | -0.102357 | 0.279039 | 0.352335 | 0.938609 | -0.244136 | 0.918088 | 0.941421 | 0.008492 | -0.107088 | 0.201777 | 0.455181 | 0.546752 | -0.028231 | 0.440394 | 0.197457 | 0.583181 | 0.544220 | -0.056890 | 0.201779 | 0.039584 | 0.310334 | 0.260393 | -0.055212 | -0.077614 | NaN | -0.002839 | NaN | 0.000649 | 0.001065 | -0.096198 | -0.082607 | -0.284081 | 0.984006 | 0.942617 | 1.000000 | 0.924938 | 0.225213 | -0.077614 | 0.004898 | 0.267433 | -0.011510 | -0.127243 | -0.002839 | 0.004875 | -0.026684 | 0.943070 | 0.279039 | 0.918088 | NaN | NaN | NaN | NaN | NaN | NaN | 0.011618 | 0.057271 | 0.011476 | 0.011007 | 0.103945 | -0.064545 | 0.008783 | 0.001314 | 0.073619 | 0.026150 | 0.066670 | 0.074742 | 0.538078 | 0.200755 | 0.548593 | 0.515289 |
| Packet Length Variance | -0.078732 | 0.270932 | 0.005111 | 0.005084 | 0.033710 | 0.005715 | 0.252559 | -0.088492 | 0.211376 | 0.277683 | 0.851858 | -0.186164 | 0.793072 | 0.890249 | -0.003458 | -0.071587 | 0.150775 | 0.335277 | 0.394554 | -0.017913 | 0.269389 | 0.144682 | 0.427877 | 0.393237 | -0.039587 | 0.077077 | 0.021714 | 0.210644 | 0.168089 | -0.038980 | -0.059973 | NaN | -0.001788 | NaN | 0.000423 | 0.000660 | -0.064704 | -0.053178 | -0.203536 | 0.895125 | 0.805415 | 0.924938 | 1.000000 | 0.174009 | -0.059973 | -0.001854 | 0.156463 | 0.022475 | -0.076057 | -0.001788 | -0.001869 | 0.001490 | 0.816668 | 0.211376 | 0.793072 | NaN | NaN | NaN | NaN | NaN | NaN | 0.005111 | 0.033755 | 0.005084 | 0.005715 | 0.009953 | -0.057693 | 0.003933 | 0.000856 | 0.036293 | -0.012354 | 0.015480 | 0.046099 | 0.386349 | 0.168120 | 0.397072 | 0.367157 |
| FIN Flag Count | -0.038278 | 0.217935 | -0.001352 | -0.001196 | -0.005915 | -0.000832 | -0.003216 | -0.051602 | -0.015083 | 0.009741 | 0.247896 | -0.101384 | 0.216194 | 0.230976 | -0.008180 | -0.000590 | 0.146571 | 0.301643 | 0.341055 | -0.008747 | 0.219590 | 0.178633 | 0.419664 | 0.340811 | -0.022963 | 0.247290 | 0.136021 | 0.546485 | 0.471303 | -0.021427 | -0.041456 | NaN | -0.001035 | NaN | 0.000241 | 0.000323 | -0.001940 | 0.009695 | -0.113823 | 0.230591 | 0.213323 | 0.225213 | 0.174009 | 1.000000 | -0.041456 | -0.003031 | -0.119819 | -0.092947 | -0.061584 | -0.001035 | -0.002901 | 0.015811 | 0.209627 | -0.015083 | 0.216194 | NaN | NaN | NaN | NaN | NaN | NaN | -0.001352 | -0.005923 | -0.001196 | -0.000832 | -0.091044 | -0.033162 | -0.001078 | 0.000496 | -0.022536 | -0.020296 | -0.027849 | -0.017505 | 0.354959 | 0.010021 | 0.345467 | 0.357718 |
| SYN Flag Count | 0.234408 | -0.017442 | 0.001881 | 0.001674 | 0.008675 | 0.001641 | 0.005481 | 0.096519 | 0.062477 | 0.015962 | -0.101014 | -0.092290 | -0.110404 | -0.092766 | 0.172062 | 0.287512 | 0.052233 | -0.012990 | -0.012342 | 0.083166 | -0.016784 | 0.017821 | -0.022960 | -0.012292 | 0.029745 | 0.000736 | 0.042307 | -0.008086 | 0.016430 | 0.047318 | 1.000000 | NaN | 0.024965 | NaN | 0.000302 | 0.000438 | 0.305757 | -0.022194 | -0.098607 | -0.084142 | -0.072491 | -0.077614 | -0.059973 | -0.041456 | 1.000000 | -0.003758 | -0.148460 | 0.335648 | -0.014234 | 0.024965 | -0.003542 | -0.150404 | -0.066209 | 0.062477 | -0.110404 | NaN | NaN | NaN | NaN | NaN | NaN | 0.001881 | 0.008682 | 0.001674 | 0.001640 | -0.052450 | -0.044321 | 0.001992 | 0.000616 | 0.003335 | 0.006791 | 0.003066 | -0.001909 | -0.029506 | 0.017559 | -0.025800 | -0.032386 |
| RST Flag Count | -0.007201 | 0.008007 | 0.000337 | 0.000212 | 0.004455 | 0.000119 | 0.017716 | -0.005181 | 0.012867 | 0.014562 | 0.004682 | -0.010027 | 0.005541 | 0.004539 | -0.000865 | -0.003859 | 0.002506 | 0.009188 | 0.013991 | -0.000941 | 0.007056 | 0.001162 | 0.010745 | 0.013032 | -0.002087 | -0.004204 | -0.003015 | -0.002556 | -0.002833 | -0.002055 | -0.003758 | NaN | -0.000094 | NaN | 0.000022 | 0.000033 | -0.003500 | -0.002805 | -0.010812 | 0.005077 | 0.007961 | 0.004898 | -0.001854 | -0.003031 | -0.003758 | 1.000000 | 0.025297 | -0.011184 | -0.005582 | -0.000094 | 0.997820 | -0.006739 | 0.007159 | 0.012867 | 0.005541 | NaN | NaN | NaN | NaN | NaN | NaN | 0.000337 | 0.004461 | 0.000212 | 0.000119 | 0.020722 | 0.001956 | 0.000392 | 0.000045 | 0.003073 | 0.007561 | 0.003439 | -0.000288 | -0.005425 | -0.000413 | -0.005299 | -0.005387 |
| PSH Flag Count | -0.220909 | 0.177430 | 0.007011 | 0.006444 | 0.044400 | 0.003757 | 0.224345 | -0.202421 | 0.090603 | 0.197414 | 0.250973 | -0.386490 | 0.228343 | 0.234821 | -0.032155 | -0.098761 | -0.067291 | -0.087143 | -0.074431 | -0.034335 | 0.168557 | -0.080597 | -0.071075 | -0.079402 | -0.079892 | 0.274660 | -0.022734 | 0.046698 | 0.024180 | -0.071367 | -0.148460 | NaN | -0.000776 | NaN | 0.000876 | 0.001324 | -0.102175 | -0.008410 | -0.421720 | 0.258841 | 0.289260 | 0.267433 | 0.156463 | -0.119819 | -0.148460 | 0.025297 | 1.000000 | -0.439611 | -0.220599 | -0.000776 | 0.025194 | -0.093664 | 0.272353 | 0.090603 | 0.228343 | NaN | NaN | NaN | NaN | NaN | NaN | 0.007011 | 0.044461 | 0.006444 | 0.003758 | 0.572483 | 0.101679 | 0.004531 | 0.001779 | 0.118440 | 0.129654 | 0.164101 | 0.088550 | -0.089102 | -0.028732 | -0.089275 | -0.088311 |
| ACK Flag Count | 0.586633 | 0.032749 | 0.001370 | 0.001199 | -0.003624 | 0.002338 | -0.027329 | -0.106016 | -0.006043 | 0.005842 | -0.019388 | -0.373400 | -0.036439 | 0.007190 | 0.058816 | 0.252128 | 0.095001 | 0.122597 | 0.161407 | 0.074089 | 0.035212 | 0.033475 | 0.166999 | 0.162294 | -0.024797 | -0.158978 | -0.077806 | -0.092751 | -0.103662 | -0.040326 | 0.335648 | NaN | -0.003819 | NaN | 0.000895 | 0.001251 | 0.247413 | 0.089121 | -0.366515 | 0.000528 | -0.079493 | -0.011510 | 0.022475 | -0.092947 | 0.335648 | -0.011184 | -0.439611 | 1.000000 | 0.498857 | -0.003819 | -0.011053 | -0.170706 | -0.086517 | -0.006043 | -0.036439 | NaN | NaN | NaN | NaN | NaN | NaN | 0.001370 | -0.003631 | 0.001199 | 0.002337 | -0.146753 | 0.106439 | 0.001602 | 0.001832 | -0.027568 | -0.053765 | -0.054352 | -0.011654 | 0.152126 | 0.101997 | 0.160923 | 0.140253 |
| URG Flag Count | 0.525049 | -0.118388 | -0.003818 | -0.003174 | -0.005221 | -0.002558 | 0.021213 | 0.016190 | 0.050233 | 0.036072 | -0.160616 | -0.193022 | -0.179665 | -0.143655 | -0.015194 | 0.001060 | -0.018948 | -0.094329 | -0.082381 | 0.079958 | -0.119875 | -0.049203 | -0.079364 | -0.083644 | -0.009693 | -0.087183 | -0.056729 | -0.026978 | -0.039886 | -0.041718 | -0.014234 | NaN | 0.016806 | NaN | 0.000443 | 0.000571 | -0.028778 | 0.150957 | -0.169564 | -0.124614 | -0.163219 | -0.127243 | -0.076057 | -0.061584 | -0.014234 | -0.005582 | -0.220599 | 0.498857 | 1.000000 | 0.016806 | -0.005594 | 0.282622 | -0.166893 | 0.050233 | -0.179665 | NaN | NaN | NaN | NaN | NaN | NaN | -0.003818 | -0.005228 | -0.003174 | -0.002558 | -0.085497 | 0.200056 | -0.002908 | 0.000915 | -0.025784 | -0.037512 | -0.041380 | -0.014513 | -0.093085 | 0.023530 | -0.087470 | -0.096777 |
| CWE Flag Count | 0.004436 | -0.002680 | -0.000060 | -0.000061 | -0.000328 | -0.000043 | -0.001736 | -0.001769 | -0.001837 | -0.001481 | -0.002719 | -0.003377 | -0.003053 | -0.002432 | -0.000294 | 0.009848 | -0.001756 | -0.002206 | -0.002282 | -0.000321 | -0.002630 | -0.001658 | -0.002058 | -0.002240 | -0.000713 | -0.002091 | -0.001228 | -0.001431 | -0.001653 | -0.000702 | 0.024965 | NaN | 1.000000 | NaN | 0.000007 | 0.000009 | 0.010421 | -0.000495 | -0.003692 | -0.002850 | -0.003395 | -0.002839 | -0.001788 | -0.001035 | 0.024965 | -0.000094 | -0.000776 | -0.003819 | 0.016806 | 1.000000 | -0.000094 | -0.004252 | -0.003483 | -0.001837 | -0.003053 | NaN | NaN | NaN | NaN | NaN | NaN | -0.000060 | -0.000329 | -0.000061 | -0.000043 | 0.016519 | -0.001421 | -0.000051 | 0.000015 | -0.000758 | -0.000630 | -0.000901 | -0.000609 | -0.002138 | -0.000660 | -0.002168 | -0.002058 |
| ECE Flag Count | -0.007112 | 0.007955 | 0.000335 | 0.000211 | 0.004444 | 0.000118 | 0.017697 | -0.004667 | 0.012979 | 0.014511 | 0.004638 | -0.010047 | 0.005491 | 0.004499 | -0.000867 | -0.003867 | 0.002479 | 0.009140 | 0.013932 | -0.000943 | 0.007007 | 0.001138 | 0.010695 | 0.012975 | -0.002091 | -0.004221 | -0.003025 | -0.002568 | -0.002848 | -0.002059 | -0.003542 | NaN | -0.000094 | NaN | 0.000022 | 0.000033 | -0.003508 | -0.002809 | -0.010830 | 0.005044 | 0.007935 | 0.004875 | -0.001869 | -0.002901 | -0.003542 | 0.997820 | 0.025194 | -0.011053 | -0.005594 | -0.000094 | 1.000000 | -0.006520 | 0.007137 | 0.012979 | 0.005491 | NaN | NaN | NaN | NaN | NaN | NaN | 0.000335 | 0.004450 | 0.000211 | 0.000118 | 0.020641 | 0.001961 | 0.000391 | 0.000045 | 0.003057 | 0.007537 | 0.003420 | -0.000295 | -0.005440 | -0.000421 | -0.005315 | -0.005402 |
| Down/Up Ratio | 0.029136 | -0.165489 | 0.000906 | 0.003301 | -0.011741 | 0.002963 | -0.051007 | 0.293750 | 0.031291 | -0.065195 | -0.045987 | 0.201233 | -0.019834 | -0.060456 | -0.040797 | -0.139139 | -0.088179 | -0.094613 | -0.119376 | -0.051682 | -0.178021 | -0.044783 | -0.135619 | -0.133872 | 0.023090 | -0.055595 | 0.017867 | 0.021594 | 0.041691 | 0.029533 | -0.150404 | NaN | -0.004252 | NaN | 0.001153 | -0.000656 | -0.165589 | 0.100724 | 0.201903 | -0.048419 | 0.034402 | -0.026684 | 0.001490 | 0.015811 | -0.150404 | -0.006739 | -0.093664 | -0.170706 | 0.282622 | -0.004252 | -0.006520 | 1.000000 | 0.043197 | 0.031291 | -0.019834 | NaN | NaN | NaN | NaN | NaN | NaN | 0.000906 | -0.011756 | 0.003301 | 0.002963 | -0.176289 | -0.038824 | 0.001067 | 0.000804 | -0.033960 | -0.034794 | -0.050842 | -0.025131 | -0.103488 | -0.056353 | -0.108763 | -0.095795 |
| Average Packet Size | -0.174613 | 0.393604 | 0.021842 | 0.022271 | 0.075875 | 0.021142 | 0.321559 | -0.039194 | 0.299053 | 0.321349 | 0.873778 | -0.162005 | 0.915088 | 0.849090 | 0.082688 | -0.108060 | 0.166480 | 0.397865 | 0.488410 | -0.029348 | 0.389691 | 0.171939 | 0.514999 | 0.484636 | -0.048829 | 0.184908 | 0.031320 | 0.276199 | 0.243654 | -0.046506 | -0.066209 | NaN | -0.003483 | NaN | 0.000551 | 0.001167 | -0.094873 | -0.094695 | -0.184653 | 0.911602 | 0.997822 | 0.943070 | 0.816668 | 0.209627 | -0.066209 | 0.007159 | 0.272353 | -0.086517 | -0.166893 | -0.003483 | 0.007137 | 0.043197 | 1.000000 | 0.299053 | 0.915088 | NaN | NaN | NaN | NaN | NaN | NaN | 0.021842 | 0.075975 | 0.022271 | 0.021142 | 0.113864 | -0.083681 | 0.016892 | 0.001173 | 0.075555 | 0.044355 | 0.078266 | 0.069584 | 0.484682 | 0.146102 | 0.489543 | 0.468987 |
| Avg Fwd Segment Size | 0.136910 | 0.133495 | -0.000279 | -0.000632 | 0.185030 | -0.001673 | 0.888951 | 0.244083 | 1.000000 | 0.897729 | -0.003252 | -0.039421 | -0.014037 | -0.006219 | 0.086402 | -0.042348 | 0.046005 | 0.111272 | 0.141295 | -0.012137 | 0.130055 | 0.063824 | 0.163039 | 0.144788 | -0.011616 | 0.168708 | 0.059601 | 0.232671 | 0.222980 | -0.009478 | 0.062477 | NaN | -0.001837 | NaN | -0.000054 | 0.000216 | -0.035481 | -0.045869 | -0.007167 | 0.287077 | 0.297016 | 0.279039 | 0.211376 | -0.015083 | 0.062477 | 0.012867 | 0.090603 | -0.006043 | 0.050233 | -0.001837 | 0.012979 | 0.031291 | 0.299053 | 1.000000 | -0.014037 | NaN | NaN | NaN | NaN | NaN | NaN | -0.000279 | 0.185273 | -0.000632 | -0.001673 | 0.046373 | -0.015123 | 0.000115 | 0.000121 | 0.090354 | 0.053958 | 0.090333 | 0.078874 | 0.119456 | 0.176843 | 0.140131 | 0.095581 |
| Avg Bwd Segment Size | -0.240833 | 0.447411 | 0.021099 | 0.021223 | 0.016281 | 0.020533 | 0.063338 | -0.113585 | -0.014037 | 0.055767 | 0.958121 | -0.172368 | 1.000000 | 0.940673 | -0.025927 | -0.123698 | 0.203426 | 0.468383 | 0.567710 | -0.030053 | 0.444219 | 0.195257 | 0.585550 | 0.563101 | -0.050871 | 0.146164 | 0.015256 | 0.225366 | 0.191118 | -0.048424 | -0.110404 | NaN | -0.003053 | NaN | 0.000720 | 0.001127 | -0.113024 | -0.085670 | -0.226316 | 0.902921 | 0.920774 | 0.918088 | 0.793072 | 0.216194 | -0.110404 | 0.005541 | 0.228343 | -0.036439 | -0.179665 | -0.003053 | 0.005491 | -0.019834 | 0.915088 | -0.014037 | 1.000000 | NaN | NaN | NaN | NaN | NaN | NaN | 0.021099 | 0.016304 | 0.021223 | 0.020533 | 0.101161 | -0.079711 | 0.016107 | 0.001321 | 0.069529 | 0.027213 | 0.064798 | 0.070239 | 0.564833 | 0.166486 | 0.569780 | 0.547220 |
| Fwd Avg Bytes/Bulk | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| Fwd Avg Packets/Bulk | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| Fwd Avg Bulk Rate | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| Bwd Avg Bytes/Bulk | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| Bwd Avg Packets/Bulk | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| Bwd Avg Bulk Rate | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| Subflow Fwd Packets | -0.004695 | 0.020544 | 1.000000 | 0.999070 | 0.365510 | 0.996997 | 0.009047 | -0.003240 | -0.000279 | 0.001084 | 0.022528 | -0.006060 | 0.021099 | 0.006006 | 0.000390 | -0.002353 | -0.001398 | -0.000995 | 0.001822 | -0.000594 | 0.020213 | -0.001392 | -0.000371 | 0.001378 | -0.001303 | 0.023771 | -0.000906 | 0.000449 | 0.003066 | -0.001157 | 0.001881 | NaN | -0.000060 | NaN | 0.000476 | 0.013751 | -0.002146 | -0.001651 | -0.006772 | 0.021710 | 0.024218 | 0.011618 | 0.005111 | -0.001352 | 0.001881 | 0.000337 | 0.007011 | 0.001370 | -0.003818 | -0.000060 | 0.000335 | 0.000906 | 0.021842 | -0.000279 | 0.021099 | NaN | NaN | NaN | NaN | NaN | NaN | 1.000000 | 0.365992 | 0.999070 | 0.996987 | 0.003700 | -0.000680 | 0.887386 | -0.000181 | 0.039856 | 0.008195 | 0.030334 | 0.041227 | 0.001364 | 0.000664 | 0.001444 | 0.001229 |
| Subflow Fwd Bytes | 0.009490 | 0.063426 | 0.365992 | 0.359939 | 0.999999 | 0.354267 | 0.196441 | -0.001687 | 0.185273 | 0.159016 | 0.020597 | -0.027827 | 0.016304 | 0.007509 | 0.002238 | -0.011945 | 0.002599 | 0.012526 | 0.024733 | -0.003073 | 0.062608 | 0.004156 | 0.021100 | 0.024812 | -0.006203 | 0.076033 | 0.006404 | 0.034978 | 0.040309 | -0.005191 | 0.008682 | NaN | -0.000329 | NaN | -0.001339 | 0.005030 | -0.010698 | -0.009384 | -0.028485 | 0.074744 | 0.081324 | 0.057271 | 0.033755 | -0.005923 | 0.008682 | 0.004461 | 0.044461 | -0.003631 | -0.005228 | -0.000329 | 0.004450 | -0.011756 | 0.075975 | 0.185273 | 0.016304 | NaN | NaN | NaN | NaN | NaN | NaN | 0.365992 | 1.000000 | 0.359939 | 0.354269 | 0.030578 | 0.009938 | 0.408010 | -0.001193 | 0.100501 | 0.102816 | 0.125845 | 0.067814 | 0.020484 | 0.026383 | 0.023907 | 0.016497 |
| Subflow Bwd Packets | -0.004394 | 0.019366 | 0.999070 | 1.000000 | 0.359457 | 0.994433 | 0.008742 | -0.002819 | -0.000632 | 0.000719 | 0.022322 | -0.005339 | 0.021223 | 0.005686 | 0.000337 | -0.002389 | -0.001741 | -0.001463 | 0.001369 | -0.000620 | 0.019016 | -0.001569 | -0.000895 | 0.000911 | -0.001172 | 0.023198 | -0.001060 | 0.000249 | 0.003151 | -0.001111 | 0.001674 | NaN | -0.000061 | NaN | 0.000757 | 0.013766 | -0.002240 | -0.001367 | -0.006133 | 0.021448 | 0.024638 | 0.011476 | 0.005084 | -0.001196 | 0.001674 | 0.000212 | 0.006444 | 0.001199 | -0.003174 | -0.000061 | 0.000211 | 0.003301 | 0.022271 | -0.000632 | 0.021223 | NaN | NaN | NaN | NaN | NaN | NaN | 0.999070 | 0.359939 | 1.000000 | 0.994424 | 0.003141 | -0.000680 | 0.882566 | 0.000021 | 0.038888 | 0.006308 | 0.028483 | 0.041227 | 0.000985 | 0.000353 | 0.001010 | 0.000905 |
| Subflow Bwd Bytes | -0.003419 | 0.015980 | 0.996987 | 0.994424 | 0.353789 | 1.000000 | 0.006392 | -0.002343 | -0.001673 | -0.000704 | 0.021818 | -0.004258 | 0.020533 | 0.005745 | 0.000531 | -0.001678 | -0.001659 | -0.001512 | 0.000805 | -0.000431 | 0.015664 | -0.001544 | -0.001048 | 0.000354 | -0.000948 | 0.018943 | -0.001320 | -0.000674 | 0.001712 | -0.000933 | 0.001640 | NaN | -0.000043 | NaN | 0.000751 | 0.013691 | -0.001564 | -0.001010 | -0.004886 | 0.020698 | 0.023293 | 0.011007 | 0.005715 | -0.000832 | 0.001640 | 0.000119 | 0.003758 | 0.002337 | -0.002558 | -0.000043 | 0.000118 | 0.002963 | 0.021142 | -0.001673 | 0.020533 | NaN | NaN | NaN | NaN | NaN | NaN | 0.996987 | 0.354269 | 0.994424 | 1.000000 | 0.001215 | -0.000775 | 0.883986 | 0.000020 | 0.035915 | 0.003396 | 0.024759 | 0.039045 | 0.000479 | 0.000001 | 0.000463 | 0.000471 |
| Init_Win_bytes_forward | -0.135038 | 0.092673 | 0.003700 | 0.003141 | 0.030537 | 0.001214 | 0.156469 | -0.146483 | 0.046373 | 0.130897 | 0.109001 | -0.294326 | 0.101161 | 0.088591 | -0.013384 | -0.056660 | 0.007126 | -0.070115 | -0.047140 | 0.072049 | 0.087390 | -0.039458 | -0.059379 | -0.050468 | -0.026902 | 0.139103 | -0.026021 | 0.012386 | -0.004400 | -0.049055 | -0.052450 | NaN | 0.016519 | NaN | 0.000668 | 0.001000 | -0.054346 | -0.025384 | -0.308955 | 0.110797 | 0.131104 | 0.103945 | 0.009953 | -0.091044 | -0.052450 | 0.020722 | 0.572483 | -0.146753 | -0.085497 | 0.016519 | 0.020641 | -0.176289 | 0.113864 | 0.046373 | 0.101161 | NaN | NaN | NaN | NaN | NaN | NaN | 0.003700 | 0.030578 | 0.003141 | 0.001215 | 1.000000 | 0.092347 | 0.000757 | 0.001360 | 0.077142 | 0.068708 | 0.095382 | 0.062700 | -0.067257 | -0.023996 | -0.067391 | -0.065901 |
| Init_Win_bytes_backward | 0.205433 | -0.035393 | -0.000680 | -0.000680 | 0.009925 | -0.000775 | 0.015827 | -0.069907 | -0.015123 | 0.014220 | -0.065538 | -0.144310 | -0.079711 | -0.059690 | -0.012209 | -0.019731 | -0.034407 | -0.050498 | -0.061369 | -0.013908 | -0.035987 | -0.039945 | -0.045067 | -0.061873 | -0.029565 | -0.015310 | -0.033781 | -0.035120 | -0.044417 | -0.025171 | -0.044321 | NaN | -0.001421 | NaN | 0.000332 | 0.000452 | -0.031991 | 0.059560 | -0.154049 | -0.061078 | -0.077936 | -0.064545 | -0.057693 | -0.033162 | -0.044321 | 0.001956 | 0.101679 | 0.106439 | 0.200056 | -0.001421 | 0.001961 | -0.038824 | -0.083681 | -0.015123 | -0.079711 | NaN | NaN | NaN | NaN | NaN | NaN | -0.000680 | 0.009938 | -0.000680 | -0.000775 | 0.092347 | 1.000000 | -0.000390 | 0.000682 | 0.013839 | 0.014062 | 0.018121 | 0.009815 | -0.069982 | -0.020962 | -0.070864 | -0.067833 |
| act_data_pkt_fwd | -0.003574 | 0.015709 | 0.887386 | 0.882566 | 0.407473 | 0.883980 | 0.007325 | -0.002293 | 0.000115 | 0.000792 | 0.016562 | -0.004303 | 0.016107 | 0.004266 | 0.000395 | -0.001811 | -0.001329 | -0.001227 | 0.000815 | -0.000465 | 0.015410 | -0.001271 | -0.000849 | 0.000413 | -0.000942 | 0.018962 | -0.000689 | 0.000255 | 0.002418 | -0.000810 | 0.001992 | NaN | -0.000051 | NaN | 0.000339 | 0.012127 | -0.001662 | -0.001215 | -0.004798 | 0.016049 | 0.018735 | 0.008783 | 0.003933 | -0.001078 | 0.001992 | 0.000392 | 0.004531 | 0.001602 | -0.002908 | -0.000051 | 0.000391 | 0.001067 | 0.016892 | 0.000115 | 0.016107 | NaN | NaN | NaN | NaN | NaN | NaN | 0.887386 | 0.408010 | 0.882566 | 0.883986 | 0.000757 | -0.000390 | 1.000000 | -0.000227 | 0.029927 | 0.005379 | 0.021976 | 0.031372 | 0.000489 | 0.000612 | 0.000577 | 0.000376 |
| min_seg_size_forward | 0.001014 | -0.001225 | -0.000181 | 0.000021 | -0.001192 | 0.000020 | 0.000608 | -0.001226 | 0.000121 | 0.000659 | 0.001260 | 0.000338 | 0.001321 | 0.001166 | 0.000080 | 0.000385 | -0.000133 | -0.000618 | -0.001274 | 0.000143 | -0.001252 | -0.000162 | -0.000962 | -0.001288 | 0.000231 | -0.001235 | -0.000462 | -0.002237 | -0.002159 | 0.000212 | 0.000616 | NaN | 0.000015 | NaN | 0.566449 | 0.679353 | 0.000339 | 0.000332 | -0.003179 | 0.001273 | 0.001124 | 0.001314 | 0.000856 | 0.000496 | 0.000616 | 0.000045 | 0.001779 | 0.001832 | 0.000915 | 0.000015 | 0.000045 | 0.000804 | 0.001173 | 0.000121 | 0.001321 | NaN | NaN | NaN | NaN | NaN | NaN | -0.000181 | -0.001193 | 0.000021 | 0.000020 | 0.001360 | 0.000682 | -0.000227 | 1.000000 | -0.008790 | -0.005765 | -0.007292 | -0.006811 | -0.000762 | -0.003686 | -0.001296 | -0.000230 |
| Active Mean | -0.041190 | 0.184577 | 0.039856 | 0.038888 | 0.100378 | 0.035920 | 0.120296 | -0.036028 | 0.090354 | 0.102895 | 0.069806 | -0.072800 | 0.069529 | 0.053899 | -0.007024 | -0.031215 | 0.062198 | 0.083214 | 0.125252 | -0.000575 | 0.179723 | 0.040172 | 0.090564 | 0.122382 | -0.003924 | 0.142568 | 0.042852 | 0.086474 | 0.117111 | 0.013216 | 0.003335 | NaN | -0.000758 | NaN | -0.001450 | -0.006921 | -0.028306 | -0.022713 | -0.075490 | 0.091808 | 0.084901 | 0.073619 | 0.036293 | -0.022536 | 0.003335 | 0.003073 | 0.118440 | -0.027568 | -0.025784 | -0.000758 | 0.003057 | -0.033960 | 0.075555 | 0.090354 | 0.069529 | NaN | NaN | NaN | NaN | NaN | NaN | 0.039856 | 0.100501 | 0.038888 | 0.035915 | 0.077142 | 0.013839 | 0.029927 | -0.008790 | 1.000000 | 0.433704 | 0.831164 | 0.905744 | 0.115355 | 0.068873 | 0.127947 | 0.105120 |
| Active Std | -0.048685 | 0.238259 | 0.008195 | 0.006308 | 0.102714 | 0.003396 | 0.087857 | -0.033065 | 0.053958 | 0.065142 | 0.034391 | -0.062920 | 0.027213 | 0.011257 | -0.005863 | -0.025955 | 0.017327 | 0.024070 | 0.048668 | -0.006295 | 0.234801 | 0.009033 | 0.028004 | 0.048128 | -0.013523 | 0.263626 | 0.068736 | 0.092368 | 0.103540 | 0.022748 | 0.006791 | NaN | -0.000630 | NaN | -0.002219 | -0.004195 | -0.023534 | -0.018891 | -0.068996 | 0.040539 | 0.053805 | 0.026150 | -0.012354 | -0.020296 | 0.006791 | 0.007561 | 0.129654 | -0.053765 | -0.037512 | -0.000630 | 0.007537 | -0.034794 | 0.044355 | 0.053958 | 0.027213 | NaN | NaN | NaN | NaN | NaN | NaN | 0.008195 | 0.102816 | 0.006308 | 0.003396 | 0.068708 | 0.014062 | 0.005379 | -0.005765 | 0.433704 | 1.000000 | 0.791431 | 0.032509 | 0.031937 | 0.080031 | 0.050798 | 0.018979 |
| Active Max | -0.058775 | 0.289546 | 0.030334 | 0.028483 | 0.125708 | 0.024762 | 0.138441 | -0.045360 | 0.090333 | 0.111241 | 0.071065 | -0.088482 | 0.064798 | 0.044539 | -0.008362 | -0.037091 | 0.048631 | 0.060608 | 0.093470 | -0.004580 | 0.285145 | 0.031303 | 0.067024 | 0.091823 | -0.011678 | 0.283041 | 0.055256 | 0.094847 | 0.113877 | 0.009128 | 0.003066 | NaN | -0.000901 | NaN | -0.001723 | -0.005386 | -0.033633 | -0.026992 | -0.095010 | 0.088518 | 0.090696 | 0.066670 | 0.015480 | -0.027849 | 0.003066 | 0.003439 | 0.164101 | -0.054352 | -0.041380 | -0.000901 | 0.003420 | -0.050842 | 0.078266 | 0.090333 | 0.064798 | NaN | NaN | NaN | NaN | NaN | NaN | 0.030334 | 0.125845 | 0.028483 | 0.024759 | 0.095382 | 0.018121 | 0.021976 | -0.007292 | 0.831164 | 0.791431 | 1.000000 | 0.583774 | 0.082713 | 0.067975 | 0.096682 | 0.071172 |
| Active Min | -0.027591 | 0.116891 | 0.041227 | 0.041227 | 0.067722 | 0.039051 | 0.102646 | -0.027925 | 0.078874 | 0.091307 | 0.068274 | -0.057779 | 0.070239 | 0.058490 | -0.005632 | -0.025068 | 0.063218 | 0.082539 | 0.116705 | 0.001776 | 0.112891 | 0.042302 | 0.089115 | 0.113837 | 0.000756 | 0.066683 | 0.017910 | 0.057352 | 0.084741 | 0.002127 | -0.001909 | NaN | -0.000609 | NaN | -0.000350 | -0.005669 | -0.022732 | -0.018238 | -0.058664 | 0.090026 | 0.076592 | 0.074742 | 0.046099 | -0.017505 | -0.001909 | -0.000288 | 0.088550 | -0.011654 | -0.014513 | -0.000609 | -0.000295 | -0.025131 | 0.069584 | 0.078874 | 0.070239 | NaN | NaN | NaN | NaN | NaN | NaN | 0.041227 | 0.067814 | 0.041227 | 0.039045 | 0.062700 | 0.009815 | 0.031372 | -0.006811 | 0.905744 | 0.032509 | 0.583774 | 1.000000 | 0.114424 | 0.036878 | 0.118944 | 0.109233 |
| Idle Mean | -0.129542 | 0.763741 | 0.001364 | 0.000985 | 0.020456 | 0.000479 | 0.170950 | -0.077879 | 0.119456 | 0.173865 | 0.568727 | -0.173027 | 0.564833 | 0.539576 | -0.019896 | -0.088013 | 0.606458 | 0.930515 | 0.979823 | 0.027625 | 0.764251 | 0.659086 | 0.903052 | 0.978194 | 0.296815 | 0.435497 | 0.457347 | 0.543609 | 0.645118 | 0.309323 | -0.029506 | NaN | -0.002138 | NaN | 0.000213 | -0.001090 | -0.079806 | -0.064066 | -0.169599 | 0.576558 | 0.498346 | 0.538078 | 0.386349 | 0.354959 | -0.029506 | -0.005425 | -0.089102 | 0.152126 | -0.093085 | -0.002138 | -0.005440 | -0.103488 | 0.484682 | 0.119456 | 0.564833 | NaN | NaN | NaN | NaN | NaN | NaN | 0.001364 | 0.020484 | 0.000985 | 0.000479 | -0.067257 | -0.069982 | 0.000489 | -0.000762 | 0.115355 | 0.031937 | 0.082713 | 0.114424 | 1.000000 | 0.146453 | 0.990224 | 0.990068 |
| Idle Std | 0.006380 | 0.240108 | 0.000664 | 0.000353 | 0.026350 | 0.000001 | 0.175238 | -0.032239 | 0.176843 | 0.188626 | 0.166687 | -0.059887 | 0.166486 | 0.174381 | -0.006143 | -0.027172 | 0.140279 | 0.231572 | 0.277631 | -0.005357 | 0.239487 | 0.122361 | 0.276370 | 0.283097 | -0.005973 | 0.113610 | 0.075397 | 0.158919 | 0.167263 | 0.024993 | 0.017559 | NaN | -0.000660 | NaN | -0.000589 | -0.004552 | -0.024638 | -0.019779 | -0.066233 | 0.221699 | 0.151412 | 0.200755 | 0.168120 | 0.010021 | 0.017559 | -0.000413 | -0.028732 | 0.101997 | 0.023530 | -0.000660 | -0.000421 | -0.056353 | 0.146102 | 0.176843 | 0.166486 | NaN | NaN | NaN | NaN | NaN | NaN | 0.000664 | 0.026383 | 0.000353 | 0.000001 | -0.023996 | -0.020962 | 0.000612 | -0.003686 | 0.068873 | 0.080031 | 0.067975 | 0.036878 | 0.146453 | 1.000000 | 0.280755 | 0.006723 |
| Idle Max | -0.125236 | 0.775365 | 0.001444 | 0.001010 | 0.023876 | 0.000463 | 0.189487 | -0.080174 | 0.140131 | 0.194163 | 0.573639 | -0.176364 | 0.569780 | 0.546417 | -0.020180 | -0.089270 | 0.608177 | 0.934799 | 0.989469 | 0.026100 | 0.775785 | 0.656209 | 0.914131 | 0.988615 | 0.286999 | 0.439590 | 0.456566 | 0.551093 | 0.650946 | 0.305247 | -0.025800 | NaN | -0.002168 | NaN | 0.000079 | -0.001677 | -0.080945 | -0.064981 | -0.174032 | 0.588717 | 0.503543 | 0.548593 | 0.397072 | 0.345467 | -0.025800 | -0.005299 | -0.089275 | 0.160923 | -0.087470 | -0.002168 | -0.005315 | -0.108763 | 0.489543 | 0.140131 | 0.569780 | NaN | NaN | NaN | NaN | NaN | NaN | 0.001444 | 0.023907 | 0.001010 | 0.000463 | -0.067391 | -0.070864 | 0.000577 | -0.001296 | 0.127947 | 0.050798 | 0.096682 | 0.118944 | 0.990224 | 0.280755 | 1.000000 | 0.961203 |
| Idle Min | -0.131047 | 0.733717 | 0.001229 | 0.000905 | 0.016475 | 0.000471 | 0.146838 | -0.073646 | 0.095581 | 0.148423 | 0.550812 | -0.165532 | 0.547220 | 0.520634 | -0.019153 | -0.084728 | 0.592728 | 0.907703 | 0.951167 | 0.028741 | 0.734319 | 0.648601 | 0.873687 | 0.948741 | 0.301006 | 0.419117 | 0.451125 | 0.526289 | 0.627913 | 0.309315 | -0.032386 | NaN | -0.002058 | NaN | 0.000320 | -0.000466 | -0.076826 | -0.061674 | -0.160977 | 0.550961 | 0.481919 | 0.515289 | 0.367157 | 0.357718 | -0.032386 | -0.005387 | -0.088311 | 0.140253 | -0.096777 | -0.002058 | -0.005402 | -0.095795 | 0.468987 | 0.095581 | 0.547220 | NaN | NaN | NaN | NaN | NaN | NaN | 0.001229 | 0.016497 | 0.000905 | 0.000471 | -0.065901 | -0.067833 | 0.000376 | -0.000230 | 0.105120 | 0.018979 | 0.071172 | 0.109233 | 0.990068 | 0.006723 | 0.961203 | 1.000000 |
plt.figure(figsize=(50, 40))
sns.heatmap(korelasi_data, annot=True, cmap='coolwarm', fmt=".2f")
plt.title('Heatmap of Correlation Matrix')
plt.savefig('heatmap_korelasi.png')
plt.show()
# membersihkan kolom yg putih
kolom_yg_dhapus = ['Bwd PSH Flags', 'Bwd URG Flags', 'Fwd Avg Bytes/Bulk', 'Fwd Avg Packets/Bulk', 'Fwd Avg Bulk Rate', 'Bwd Avg Bytes/Bulk', 'Bwd Avg Packets/Bulk', 'Bwd Avg Bulk Rate']
for kolomo in kolom_yg_dhapus :
del data_clean[kolomo]
korelasi_data = data_clean.corr()
korelasi_data
C:\Users\ASUS\AppData\Local\Temp\ipykernel_13656\1152232200.py:1: FutureWarning: The default value of numeric_only in DataFrame.corr is deprecated. In a future version, it will default to False. Select only valid columns or specify the value of numeric_only to silence this warning.
| Destination Port | Flow Duration | Total Fwd Packets | Total Backward Packets | Total Length of Fwd Packets | Total Length of Bwd Packets | Fwd Packet Length Max | Fwd Packet Length Min | Fwd Packet Length Mean | Fwd Packet Length Std | Bwd Packet Length Max | Bwd Packet Length Min | Bwd Packet Length Mean | Bwd Packet Length Std | Flow Bytes/s | Flow Packets/s | Flow IAT Mean | Flow IAT Std | Flow IAT Max | Flow IAT Min | Fwd IAT Total | Fwd IAT Mean | Fwd IAT Std | Fwd IAT Max | Fwd IAT Min | Bwd IAT Total | Bwd IAT Mean | Bwd IAT Std | Bwd IAT Max | Bwd IAT Min | Fwd PSH Flags | Fwd URG Flags | Fwd Header Length | Bwd Header Length | Fwd Packets/s | Bwd Packets/s | Min Packet Length | Max Packet Length | Packet Length Mean | Packet Length Std | Packet Length Variance | FIN Flag Count | SYN Flag Count | RST Flag Count | PSH Flag Count | ACK Flag Count | URG Flag Count | CWE Flag Count | ECE Flag Count | Down/Up Ratio | Average Packet Size | Avg Fwd Segment Size | Avg Bwd Segment Size | Subflow Fwd Packets | Subflow Fwd Bytes | Subflow Bwd Packets | Subflow Bwd Bytes | Init_Win_bytes_forward | Init_Win_bytes_backward | act_data_pkt_fwd | min_seg_size_forward | Active Mean | Active Std | Active Max | Active Min | Idle Mean | Idle Std | Idle Max | Idle Min | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Destination Port | 1.000000 | -0.173877 | -0.004695 | -0.004394 | 0.009477 | -0.003419 | 0.090423 | -0.046065 | 0.136910 | 0.122524 | -0.214738 | -0.261911 | -0.240833 | -0.192450 | 0.070321 | 0.359653 | -0.114900 | -0.133540 | -0.132520 | -0.023600 | -0.173016 | -0.108227 | -0.112500 | -0.131217 | -0.056039 | -0.121358 | -0.076734 | -0.042569 | -0.062743 | -0.055626 | 0.234408 | 0.004436 | 0.000462 | 0.000768 | 0.348737 | 0.144848 | -0.253890 | -0.145416 | -0.173263 | -0.141429 | -0.078732 | -0.038278 | 0.234408 | -0.007201 | -0.220909 | 0.586633 | 0.525049 | 0.004436 | -0.007112 | 0.029136 | -0.174613 | 0.136910 | -0.240833 | -0.004695 | 0.009490 | -0.004394 | -0.003419 | -0.135038 | 0.205433 | -0.003574 | 0.001014 | -0.041190 | -0.048685 | -0.058775 | -0.027591 | -0.129542 | 0.006380 | -0.125236 | -0.131047 |
| Flow Duration | -0.173877 | 1.000000 | 0.020544 | 0.019366 | 0.063343 | 0.015981 | 0.262566 | -0.115018 | 0.133495 | 0.224078 | 0.484794 | -0.238513 | 0.447411 | 0.432548 | -0.024928 | -0.110335 | 0.534223 | 0.734430 | 0.779575 | 0.060380 | 0.998526 | 0.542581 | 0.720635 | 0.779318 | 0.209512 | 0.819623 | 0.408185 | 0.517280 | 0.579842 | 0.212468 | -0.017442 | -0.002680 | -0.000091 | -0.001042 | -0.100047 | -0.080310 | -0.246258 | 0.500428 | 0.416048 | 0.443989 | 0.270932 | 0.217935 | -0.017442 | 0.008007 | 0.177430 | 0.032749 | -0.118388 | -0.002680 | 0.007955 | -0.165489 | 0.393604 | 0.133495 | 0.447411 | 0.020544 | 0.063426 | 0.019366 | 0.015980 | 0.092673 | -0.035393 | 0.015709 | -0.001225 | 0.184577 | 0.238259 | 0.289546 | 0.116891 | 0.763741 | 0.240108 | 0.775365 | 0.733717 |
| Total Fwd Packets | -0.004695 | 0.020544 | 1.000000 | 0.999070 | 0.365510 | 0.996997 | 0.009047 | -0.003240 | -0.000279 | 0.001084 | 0.022528 | -0.006060 | 0.021099 | 0.006006 | 0.000390 | -0.002353 | -0.001398 | -0.000995 | 0.001822 | -0.000594 | 0.020213 | -0.001392 | -0.000371 | 0.001378 | -0.001303 | 0.023771 | -0.000906 | 0.000449 | 0.003066 | -0.001157 | 0.001881 | -0.000060 | 0.000476 | 0.013751 | -0.002146 | -0.001651 | -0.006772 | 0.021710 | 0.024218 | 0.011618 | 0.005111 | -0.001352 | 0.001881 | 0.000337 | 0.007011 | 0.001370 | -0.003818 | -0.000060 | 0.000335 | 0.000906 | 0.021842 | -0.000279 | 0.021099 | 1.000000 | 0.365992 | 0.999070 | 0.996987 | 0.003700 | -0.000680 | 0.887386 | -0.000181 | 0.039856 | 0.008195 | 0.030334 | 0.041227 | 0.001364 | 0.000664 | 0.001444 | 0.001229 |
| Total Backward Packets | -0.004394 | 0.019366 | 0.999070 | 1.000000 | 0.359457 | 0.994433 | 0.008742 | -0.002819 | -0.000632 | 0.000719 | 0.022322 | -0.005339 | 0.021223 | 0.005686 | 0.000337 | -0.002389 | -0.001741 | -0.001463 | 0.001369 | -0.000620 | 0.019016 | -0.001569 | -0.000895 | 0.000911 | -0.001172 | 0.023198 | -0.001060 | 0.000249 | 0.003151 | -0.001111 | 0.001674 | -0.000061 | 0.000757 | 0.013766 | -0.002240 | -0.001367 | -0.006133 | 0.021448 | 0.024638 | 0.011476 | 0.005084 | -0.001196 | 0.001674 | 0.000212 | 0.006444 | 0.001199 | -0.003174 | -0.000061 | 0.000211 | 0.003301 | 0.022271 | -0.000632 | 0.021223 | 0.999070 | 0.359939 | 1.000000 | 0.994424 | 0.003141 | -0.000680 | 0.882566 | 0.000021 | 0.038888 | 0.006308 | 0.028483 | 0.041227 | 0.000985 | 0.000353 | 0.001010 | 0.000905 |
| Total Length of Fwd Packets | 0.009477 | 0.063343 | 0.365510 | 0.359457 | 1.000000 | 0.353788 | 0.196177 | -0.001685 | 0.185030 | 0.158801 | 0.020569 | -0.027790 | 0.016281 | 0.007498 | 0.002235 | -0.011929 | 0.002595 | 0.012509 | 0.024700 | -0.003069 | 0.062527 | 0.004150 | 0.021071 | 0.024779 | -0.006195 | 0.075934 | 0.006395 | 0.034931 | 0.040256 | -0.005184 | 0.008675 | -0.000328 | -0.001337 | 0.005023 | -0.010684 | -0.009371 | -0.028447 | 0.074643 | 0.081216 | 0.057194 | 0.033710 | -0.005915 | 0.008675 | 0.004455 | 0.044400 | -0.003624 | -0.005221 | -0.000328 | 0.004444 | -0.011741 | 0.075875 | 0.185030 | 0.016281 | 0.365510 | 0.999999 | 0.359457 | 0.353789 | 0.030537 | 0.009925 | 0.407473 | -0.001192 | 0.100378 | 0.102714 | 0.125708 | 0.067722 | 0.020456 | 0.026350 | 0.023876 | 0.016475 |
| Total Length of Bwd Packets | -0.003419 | 0.015981 | 0.996997 | 0.994433 | 0.353788 | 1.000000 | 0.006393 | -0.002343 | -0.001673 | -0.000704 | 0.021817 | -0.004258 | 0.020533 | 0.005745 | 0.000531 | -0.001678 | -0.001659 | -0.001512 | 0.000805 | -0.000431 | 0.015665 | -0.001544 | -0.001048 | 0.000354 | -0.000948 | 0.018943 | -0.001320 | -0.000674 | 0.001712 | -0.000933 | 0.001641 | -0.000043 | 0.000751 | 0.013691 | -0.001564 | -0.001010 | -0.004886 | 0.020697 | 0.023292 | 0.011006 | 0.005715 | -0.000832 | 0.001641 | 0.000119 | 0.003757 | 0.002338 | -0.002558 | -0.000043 | 0.000118 | 0.002963 | 0.021142 | -0.001673 | 0.020533 | 0.996997 | 0.354267 | 0.994433 | 1.000000 | 0.001214 | -0.000775 | 0.883980 | 0.000020 | 0.035920 | 0.003396 | 0.024762 | 0.039051 | 0.000479 | 0.000001 | 0.000463 | 0.000471 |
| Fwd Packet Length Max | 0.090423 | 0.262566 | 0.009047 | 0.008742 | 0.196177 | 0.006393 | 1.000000 | -0.003958 | 0.888951 | 0.968518 | 0.083609 | -0.141929 | 0.063338 | 0.064996 | 0.036214 | -0.055766 | 0.063394 | 0.146505 | 0.191162 | -0.015749 | 0.258776 | 0.078039 | 0.215476 | 0.195259 | -0.029979 | 0.290660 | 0.061198 | 0.264467 | 0.252085 | -0.028605 | 0.005481 | -0.001736 | 0.000262 | 0.000604 | -0.048870 | -0.049320 | -0.145585 | 0.379118 | 0.330176 | 0.341987 | 0.252559 | -0.003216 | 0.005481 | 0.017716 | 0.224345 | -0.027329 | 0.021213 | -0.001736 | 0.017697 | -0.051007 | 0.321559 | 0.888951 | 0.063338 | 0.009047 | 0.196441 | 0.008742 | 0.006392 | 0.156469 | 0.015827 | 0.007325 | 0.000608 | 0.120296 | 0.087857 | 0.138441 | 0.102646 | 0.170950 | 0.175238 | 0.189487 | 0.146838 |
| Fwd Packet Length Min | -0.046065 | -0.115018 | -0.003240 | -0.002819 | -0.001685 | -0.002343 | -0.003958 | 1.000000 | 0.244083 | -0.078022 | -0.132643 | 0.295068 | -0.113585 | -0.133249 | 0.001568 | -0.050721 | -0.021362 | -0.057408 | -0.082683 | 0.002027 | -0.118837 | -0.013153 | -0.105829 | -0.089405 | 0.041925 | -0.080426 | 0.015063 | -0.053450 | -0.034992 | 0.039306 | 0.096519 | -0.001769 | -0.000711 | -0.000680 | -0.048249 | -0.025531 | 0.442349 | -0.115133 | -0.056330 | -0.102357 | -0.088492 | -0.051602 | 0.096519 | -0.005181 | -0.202421 | -0.106016 | 0.016190 | -0.001769 | -0.004667 | 0.293750 | -0.039194 | 0.244083 | -0.113585 | -0.003240 | -0.001687 | -0.002819 | -0.002343 | -0.146483 | -0.069907 | -0.002293 | -0.001226 | -0.036028 | -0.033065 | -0.045360 | -0.027925 | -0.077879 | -0.032239 | -0.080174 | -0.073646 |
| Fwd Packet Length Mean | 0.136910 | 0.133495 | -0.000279 | -0.000632 | 0.185030 | -0.001673 | 0.888951 | 0.244083 | 1.000000 | 0.897729 | -0.003252 | -0.039421 | -0.014037 | -0.006219 | 0.086402 | -0.042348 | 0.046005 | 0.111272 | 0.141295 | -0.012137 | 0.130055 | 0.063824 | 0.163039 | 0.144788 | -0.011616 | 0.168708 | 0.059601 | 0.232671 | 0.222980 | -0.009478 | 0.062477 | -0.001837 | -0.000054 | 0.000216 | -0.035481 | -0.045869 | -0.007167 | 0.287077 | 0.297016 | 0.279039 | 0.211376 | -0.015083 | 0.062477 | 0.012867 | 0.090603 | -0.006043 | 0.050233 | -0.001837 | 0.012979 | 0.031291 | 0.299053 | 1.000000 | -0.014037 | -0.000279 | 0.185273 | -0.000632 | -0.001673 | 0.046373 | -0.015123 | 0.000115 | 0.000121 | 0.090354 | 0.053958 | 0.090333 | 0.078874 | 0.119456 | 0.176843 | 0.140131 | 0.095581 |
| Fwd Packet Length Std | 0.122524 | 0.224078 | 0.001084 | 0.000719 | 0.158801 | -0.000704 | 0.968518 | -0.078022 | 0.897729 | 1.000000 | 0.075267 | -0.152695 | 0.055767 | 0.067081 | 0.076477 | -0.036426 | 0.066728 | 0.154312 | 0.195984 | -0.014720 | 0.221037 | 0.083256 | 0.229540 | 0.201368 | -0.029202 | 0.242056 | 0.059252 | 0.268584 | 0.250552 | -0.028041 | 0.015962 | -0.001481 | 0.000296 | 0.000500 | -0.029670 | -0.043763 | -0.167430 | 0.373314 | 0.325617 | 0.352335 | 0.277683 | 0.009741 | 0.015962 | 0.014562 | 0.197414 | 0.005842 | 0.036072 | -0.001481 | 0.014511 | -0.065195 | 0.321349 | 0.897729 | 0.055767 | 0.001084 | 0.159016 | 0.000719 | -0.000704 | 0.130897 | 0.014220 | 0.000792 | 0.000659 | 0.102895 | 0.065142 | 0.111241 | 0.091307 | 0.173865 | 0.188626 | 0.194163 | 0.148423 |
| Bwd Packet Length Max | -0.214738 | 0.484794 | 0.022528 | 0.022322 | 0.020569 | 0.021817 | 0.083609 | -0.132643 | -0.003252 | 0.075267 | 1.000000 | -0.241908 | 0.958121 | 0.982489 | -0.023866 | -0.111199 | 0.215699 | 0.476437 | 0.571233 | -0.027088 | 0.481245 | 0.204550 | 0.596189 | 0.566844 | -0.054015 | 0.210394 | 0.035590 | 0.279396 | 0.232750 | -0.052555 | -0.101014 | -0.002719 | 0.000651 | 0.001160 | -0.101143 | -0.079353 | -0.273644 | 0.947119 | 0.878858 | 0.938609 | 0.851858 | 0.247896 | -0.101014 | 0.004682 | 0.250973 | -0.019388 | -0.160616 | -0.002719 | 0.004638 | -0.045987 | 0.873778 | -0.003252 | 0.958121 | 0.022528 | 0.020597 | 0.022322 | 0.021818 | 0.109001 | -0.065538 | 0.016562 | 0.001260 | 0.069806 | 0.034391 | 0.071065 | 0.068274 | 0.568727 | 0.166687 | 0.573639 | 0.550812 |
| Bwd Packet Length Min | -0.261911 | -0.238513 | -0.006060 | -0.005339 | -0.027790 | -0.004258 | -0.141929 | 0.295068 | -0.039421 | -0.152695 | -0.241908 | 1.000000 | -0.172368 | -0.258305 | -0.019893 | -0.122928 | -0.093429 | -0.144991 | -0.186181 | -0.028828 | -0.234165 | -0.057569 | -0.202430 | -0.183145 | 0.044670 | -0.170404 | 0.001399 | -0.131367 | -0.098589 | 0.056262 | -0.092290 | -0.003377 | 0.000674 | -0.000668 | -0.118331 | -0.054627 | 0.718671 | -0.256496 | -0.188302 | -0.244136 | -0.186164 | -0.101384 | -0.092290 | -0.010027 | -0.386490 | -0.373400 | -0.193022 | -0.003377 | -0.010047 | 0.201233 | -0.162005 | -0.039421 | -0.172368 | -0.006060 | -0.027827 | -0.005339 | -0.004258 | -0.294326 | -0.144310 | -0.004303 | 0.000338 | -0.072800 | -0.062920 | -0.088482 | -0.057779 | -0.173027 | -0.059887 | -0.176364 | -0.165532 |
| Bwd Packet Length Mean | -0.240833 | 0.447411 | 0.021099 | 0.021223 | 0.016281 | 0.020533 | 0.063338 | -0.113585 | -0.014037 | 0.055767 | 0.958121 | -0.172368 | 1.000000 | 0.940673 | -0.025927 | -0.123698 | 0.203426 | 0.468383 | 0.567710 | -0.030053 | 0.444219 | 0.195257 | 0.585550 | 0.563101 | -0.050871 | 0.146164 | 0.015256 | 0.225366 | 0.191118 | -0.048424 | -0.110404 | -0.003053 | 0.000720 | 0.001127 | -0.113024 | -0.085670 | -0.226316 | 0.902921 | 0.920774 | 0.918088 | 0.793072 | 0.216194 | -0.110404 | 0.005541 | 0.228343 | -0.036439 | -0.179665 | -0.003053 | 0.005491 | -0.019834 | 0.915088 | -0.014037 | 1.000000 | 0.021099 | 0.016304 | 0.021223 | 0.020533 | 0.101161 | -0.079711 | 0.016107 | 0.001321 | 0.069529 | 0.027213 | 0.064798 | 0.070239 | 0.564833 | 0.166486 | 0.569780 | 0.547220 |
| Bwd Packet Length Std | -0.192450 | 0.432548 | 0.006006 | 0.005686 | 0.007498 | 0.005745 | 0.064996 | -0.133249 | -0.006219 | 0.067081 | 0.982489 | -0.258305 | 0.940673 | 1.000000 | -0.021619 | -0.099949 | 0.211041 | 0.460429 | 0.544535 | -0.024385 | 0.429372 | 0.196335 | 0.571939 | 0.540421 | -0.050387 | 0.152830 | 0.029509 | 0.250464 | 0.199286 | -0.049291 | -0.092766 | -0.002432 | 0.000575 | 0.000885 | -0.090708 | -0.072351 | -0.278569 | 0.931345 | 0.849175 | 0.941421 | 0.890249 | 0.230976 | -0.092766 | 0.004539 | 0.234821 | 0.007190 | -0.143655 | -0.002432 | 0.004499 | -0.060456 | 0.849090 | -0.006219 | 0.940673 | 0.006006 | 0.007509 | 0.005686 | 0.005745 | 0.088591 | -0.059690 | 0.004266 | 0.001166 | 0.053899 | 0.011257 | 0.044539 | 0.058490 | 0.539576 | 0.174381 | 0.546417 | 0.520634 |
| Flow Bytes/s | 0.070321 | -0.024928 | 0.000390 | 0.000337 | 0.002235 | 0.000531 | 0.036214 | 0.001568 | 0.086402 | 0.076477 | -0.023866 | -0.019893 | -0.025927 | -0.021619 | 1.000000 | 0.286854 | -0.016346 | -0.020526 | -0.021231 | -0.002990 | -0.024463 | -0.015429 | -0.019153 | -0.020843 | -0.006634 | -0.019441 | -0.011426 | -0.013320 | -0.015379 | -0.006534 | 0.172062 | -0.000294 | 0.000042 | 0.000069 | 0.299155 | 0.007225 | -0.003458 | -0.006724 | 0.052917 | 0.008492 | -0.003458 | -0.008180 | 0.172062 | -0.000865 | -0.032155 | 0.058816 | -0.015194 | -0.000294 | -0.000867 | -0.040797 | 0.082688 | 0.086402 | -0.025927 | 0.000390 | 0.002238 | 0.000337 | 0.000531 | -0.013384 | -0.012209 | 0.000395 | 0.000080 | -0.007024 | -0.005863 | -0.008362 | -0.005632 | -0.019896 | -0.006143 | -0.020180 | -0.019153 |
| Flow Packets/s | 0.359653 | -0.110335 | -0.002353 | -0.002389 | -0.011929 | -0.001678 | -0.055766 | -0.050721 | -0.042348 | -0.036426 | -0.111199 | -0.122928 | -0.123698 | -0.099949 | 0.286854 | 1.000000 | -0.072303 | -0.090795 | -0.093924 | -0.013226 | -0.108276 | -0.068243 | -0.084719 | -0.092203 | -0.029343 | -0.086078 | -0.050538 | -0.058925 | -0.068047 | -0.028900 | 0.287512 | 0.009848 | 0.000183 | 0.000319 | 0.980478 | 0.323595 | -0.102728 | -0.111327 | -0.113472 | -0.107088 | -0.071587 | -0.000590 | 0.287512 | -0.003859 | -0.098761 | 0.252128 | 0.001060 | 0.009848 | -0.003867 | -0.139139 | -0.108060 | -0.042348 | -0.123698 | -0.002353 | -0.011945 | -0.002389 | -0.001678 | -0.056660 | -0.019731 | -0.001811 | 0.000385 | -0.031215 | -0.025955 | -0.037091 | -0.025068 | -0.088013 | -0.027172 | -0.089270 | -0.084728 |
| Flow IAT Mean | -0.114900 | 0.534223 | -0.001398 | -0.001741 | 0.002595 | -0.001659 | 0.063394 | -0.021362 | 0.046005 | 0.066728 | 0.215699 | -0.093429 | 0.203426 | 0.211041 | -0.016346 | -0.072303 | 1.000000 | 0.710683 | 0.655964 | 0.630446 | 0.533936 | 0.901786 | 0.420316 | 0.654387 | 0.774186 | 0.347499 | 0.633170 | 0.258520 | 0.487839 | 0.573397 | 0.052233 | -0.001756 | 0.000309 | -0.000535 | -0.065560 | -0.052629 | -0.043553 | 0.219939 | 0.171331 | 0.201777 | 0.150775 | 0.146571 | 0.052233 | 0.002506 | -0.067291 | 0.095001 | -0.018948 | -0.001756 | 0.002479 | -0.088179 | 0.166480 | 0.046005 | 0.203426 | -0.001398 | 0.002599 | -0.001741 | -0.001659 | 0.007126 | -0.034407 | -0.001329 | -0.000133 | 0.062198 | 0.017327 | 0.048631 | 0.063218 | 0.606458 | 0.140279 | 0.608177 | 0.592728 |
| Flow IAT Std | -0.133540 | 0.734430 | -0.000995 | -0.001463 | 0.012509 | -0.001512 | 0.146505 | -0.057408 | 0.111272 | 0.154312 | 0.476437 | -0.144991 | 0.468383 | 0.460429 | -0.020526 | -0.090795 | 0.710683 | 1.000000 | 0.937527 | -0.020468 | 0.734124 | 0.827693 | 0.802494 | 0.935545 | 0.516701 | 0.453172 | 0.668173 | 0.480526 | 0.676758 | 0.544190 | -0.012990 | -0.002206 | 0.000301 | -0.001134 | -0.082328 | -0.066091 | -0.127675 | 0.486786 | 0.408233 | 0.455181 | 0.335277 | 0.301643 | -0.012990 | 0.009188 | -0.087143 | 0.122597 | -0.094329 | -0.002206 | 0.009140 | -0.094613 | 0.397865 | 0.111272 | 0.468383 | -0.000995 | 0.012526 | -0.001463 | -0.001512 | -0.070115 | -0.050498 | -0.001227 | -0.000618 | 0.083214 | 0.024070 | 0.060608 | 0.082539 | 0.930515 | 0.231572 | 0.934799 | 0.907703 |
| Flow IAT Max | -0.132520 | 0.779575 | 0.001822 | 0.001369 | 0.024700 | 0.000805 | 0.191162 | -0.082683 | 0.141295 | 0.195984 | 0.571233 | -0.186181 | 0.567710 | 0.544535 | -0.021231 | -0.093924 | 0.655964 | 0.937527 | 1.000000 | 0.096058 | 0.779266 | 0.677505 | 0.915170 | 0.998050 | 0.310213 | 0.432313 | 0.451983 | 0.546531 | 0.645291 | 0.302251 | -0.012342 | -0.002282 | 0.000063 | -0.001630 | -0.085165 | -0.068367 | -0.180426 | 0.586409 | 0.502672 | 0.546752 | 0.394554 | 0.341055 | -0.012342 | 0.013991 | -0.074431 | 0.161407 | -0.082381 | -0.002282 | 0.013932 | -0.119376 | 0.488410 | 0.141295 | 0.567710 | 0.001822 | 0.024733 | 0.001369 | 0.000805 | -0.047140 | -0.061369 | 0.000815 | -0.001274 | 0.125252 | 0.048668 | 0.093470 | 0.116705 | 0.979823 | 0.277631 | 0.989469 | 0.951167 |
| Flow IAT Min | -0.023600 | 0.060380 | -0.000594 | -0.000620 | -0.003069 | -0.000431 | -0.015749 | 0.002027 | -0.012137 | -0.014720 | -0.027088 | -0.028828 | -0.030053 | -0.024385 | -0.002990 | -0.013226 | 0.630446 | -0.020468 | 0.096058 | 1.000000 | 0.060928 | 0.286713 | -0.019882 | 0.095939 | 0.327465 | -0.020528 | -0.011101 | -0.014289 | -0.015928 | -0.005784 | 0.083166 | -0.000321 | 0.000074 | 0.000086 | -0.011993 | -0.009626 | 0.009958 | -0.027889 | -0.029999 | -0.028231 | -0.017913 | -0.008747 | 0.083166 | -0.000941 | -0.034335 | 0.074089 | 0.079958 | -0.000321 | -0.000943 | -0.051682 | -0.029348 | -0.012137 | -0.030053 | -0.000594 | -0.003073 | -0.000620 | -0.000431 | 0.072049 | -0.013908 | -0.000465 | 0.000143 | -0.000575 | -0.006295 | -0.004580 | 0.001776 | 0.027625 | -0.005357 | 0.026100 | 0.028741 |
| Fwd IAT Total | -0.173016 | 0.998526 | 0.020213 | 0.019016 | 0.062527 | 0.015665 | 0.258776 | -0.118837 | 0.130055 | 0.221037 | 0.481245 | -0.234165 | 0.444219 | 0.429372 | -0.024463 | -0.108276 | 0.533936 | 0.734124 | 0.779266 | 0.060928 | 1.000000 | 0.544410 | 0.722746 | 0.781780 | 0.210722 | 0.816417 | 0.407619 | 0.513841 | 0.577072 | 0.213596 | -0.016784 | -0.002630 | -0.000104 | -0.001067 | -0.098180 | -0.078812 | -0.241631 | 0.496834 | 0.411833 | 0.440394 | 0.269389 | 0.219590 | -0.016784 | 0.007056 | 0.168557 | 0.035212 | -0.119875 | -0.002630 | 0.007007 | -0.178021 | 0.389691 | 0.130055 | 0.444219 | 0.020213 | 0.062608 | 0.019016 | 0.015664 | 0.087390 | -0.035987 | 0.015410 | -0.001252 | 0.179723 | 0.234801 | 0.285145 | 0.112891 | 0.764251 | 0.239487 | 0.775785 | 0.734319 |
| Fwd IAT Mean | -0.108227 | 0.542581 | -0.001392 | -0.001569 | 0.004150 | -0.001544 | 0.078039 | -0.013153 | 0.063824 | 0.083256 | 0.204550 | -0.057569 | 0.195257 | 0.196335 | -0.015429 | -0.068243 | 0.901786 | 0.827693 | 0.677505 | 0.286713 | 0.544410 | 1.000000 | 0.412301 | 0.678761 | 0.885573 | 0.423321 | 0.848912 | 0.285349 | 0.623023 | 0.797318 | 0.017821 | -0.001658 | 0.000296 | -0.000567 | -0.061879 | -0.049676 | -0.006117 | 0.214360 | 0.176140 | 0.197457 | 0.144682 | 0.178633 | 0.017821 | 0.001162 | -0.080597 | 0.033475 | -0.049203 | -0.001658 | 0.001138 | -0.044783 | 0.171939 | 0.063824 | 0.195257 | -0.001392 | 0.004156 | -0.001569 | -0.001544 | -0.039458 | -0.039945 | -0.001271 | -0.000162 | 0.040172 | 0.009033 | 0.031303 | 0.042302 | 0.659086 | 0.122361 | 0.656209 | 0.648601 |
| Fwd IAT Std | -0.112500 | 0.720635 | -0.000371 | -0.000895 | 0.021071 | -0.001048 | 0.215476 | -0.105829 | 0.163039 | 0.229540 | 0.596189 | -0.202430 | 0.585550 | 0.571939 | -0.019153 | -0.084719 | 0.420316 | 0.802494 | 0.915170 | -0.019882 | 0.722746 | 0.412301 | 1.000000 | 0.917452 | -0.041289 | 0.374843 | 0.193718 | 0.627588 | 0.541485 | -0.008436 | -0.022960 | -0.002058 | 0.000254 | -0.001514 | -0.076818 | -0.061668 | -0.218748 | 0.619797 | 0.528341 | 0.583181 | 0.427877 | 0.419664 | -0.022960 | 0.010745 | -0.071075 | 0.166999 | -0.079364 | -0.002058 | 0.010695 | -0.135619 | 0.514999 | 0.163039 | 0.585550 | -0.000371 | 0.021100 | -0.000895 | -0.001048 | -0.059379 | -0.045067 | -0.000849 | -0.000962 | 0.090564 | 0.028004 | 0.067024 | 0.089115 | 0.903052 | 0.276370 | 0.914131 | 0.873687 |
| Fwd IAT Max | -0.131217 | 0.779318 | 0.001378 | 0.000911 | 0.024779 | 0.000354 | 0.195259 | -0.089405 | 0.144788 | 0.201368 | 0.566844 | -0.183145 | 0.563101 | 0.540421 | -0.020843 | -0.092203 | 0.654387 | 0.935545 | 0.998050 | 0.095939 | 0.781780 | 0.678761 | 0.917452 | 1.000000 | 0.310263 | 0.432504 | 0.451149 | 0.544457 | 0.643445 | 0.302053 | -0.012292 | -0.002240 | 0.000054 | -0.001644 | -0.083605 | -0.067116 | -0.177265 | 0.584441 | 0.498768 | 0.544220 | 0.393237 | 0.340811 | -0.012292 | 0.013032 | -0.079402 | 0.162294 | -0.083644 | -0.002240 | 0.012975 | -0.133872 | 0.484636 | 0.144788 | 0.563101 | 0.001378 | 0.024812 | 0.000911 | 0.000354 | -0.050468 | -0.061873 | 0.000413 | -0.001288 | 0.122382 | 0.048128 | 0.091823 | 0.113837 | 0.978194 | 0.283097 | 0.988615 | 0.948741 |
| Fwd IAT Min | -0.056039 | 0.209512 | -0.001303 | -0.001172 | -0.006195 | -0.000948 | -0.029979 | 0.041925 | -0.011616 | -0.029202 | -0.054015 | 0.044670 | -0.050871 | -0.050387 | -0.006634 | -0.029343 | 0.774186 | 0.516701 | 0.310213 | 0.327465 | 0.210722 | 0.885573 | -0.041289 | 0.310263 | 1.000000 | 0.223989 | 0.819203 | -0.024246 | 0.404734 | 0.883639 | 0.029745 | -0.000713 | 0.000158 | 0.000121 | -0.026606 | -0.021359 | 0.109753 | -0.056666 | -0.050857 | -0.056890 | -0.039587 | -0.022963 | 0.029745 | -0.002087 | -0.079892 | -0.024797 | -0.009693 | -0.000713 | -0.002091 | 0.023090 | -0.048829 | -0.011616 | -0.050871 | -0.001303 | -0.006203 | -0.001172 | -0.000948 | -0.026902 | -0.029565 | -0.000942 | 0.000231 | -0.003924 | -0.013523 | -0.011678 | 0.000756 | 0.296815 | -0.005973 | 0.286999 | 0.301006 |
| Bwd IAT Total | -0.121358 | 0.819623 | 0.023771 | 0.023198 | 0.075934 | 0.018943 | 0.290660 | -0.080426 | 0.168708 | 0.242056 | 0.210394 | -0.170404 | 0.146164 | 0.152830 | -0.019441 | -0.086078 | 0.347499 | 0.453172 | 0.432313 | -0.020528 | 0.816417 | 0.423321 | 0.374843 | 0.432504 | 0.223989 | 1.000000 | 0.507386 | 0.640386 | 0.719447 | 0.266906 | 0.000736 | -0.002091 | 0.000316 | -0.001544 | -0.078051 | -0.062652 | -0.175996 | 0.248343 | 0.204580 | 0.201779 | 0.077077 | 0.247290 | 0.000736 | -0.004204 | 0.274660 | -0.158978 | -0.087183 | -0.002091 | -0.004221 | -0.055595 | 0.184908 | 0.168708 | 0.146164 | 0.023771 | 0.076033 | 0.023198 | 0.018943 | 0.139103 | -0.015310 | 0.018962 | -0.001235 | 0.142568 | 0.263626 | 0.283041 | 0.066683 | 0.435497 | 0.113610 | 0.439590 | 0.419117 |
| Bwd IAT Mean | -0.076734 | 0.408185 | -0.000906 | -0.001060 | 0.006395 | -0.001320 | 0.061198 | 0.015063 | 0.059601 | 0.059252 | 0.035590 | 0.001399 | 0.015256 | 0.029509 | -0.011426 | -0.050538 | 0.633170 | 0.668173 | 0.451983 | -0.011101 | 0.407619 | 0.848912 | 0.193718 | 0.451149 | 0.819203 | 0.507386 | 1.000000 | 0.322247 | 0.706139 | 0.933072 | 0.042307 | -0.001228 | 0.000195 | -0.000787 | -0.045825 | -0.036787 | 0.042036 | 0.049088 | 0.033385 | 0.039584 | 0.021714 | 0.136021 | 0.042307 | -0.003015 | -0.022734 | -0.077806 | -0.056729 | -0.001228 | -0.003025 | 0.017867 | 0.031320 | 0.059601 | 0.015256 | -0.000906 | 0.006404 | -0.001060 | -0.001320 | -0.026021 | -0.033781 | -0.000689 | -0.000462 | 0.042852 | 0.068736 | 0.055256 | 0.017910 | 0.457347 | 0.075397 | 0.456566 | 0.451125 |
| Bwd IAT Std | -0.042569 | 0.517280 | 0.000449 | 0.000249 | 0.034931 | -0.000674 | 0.264467 | -0.053450 | 0.232671 | 0.268584 | 0.279396 | -0.131367 | 0.225366 | 0.250464 | -0.013320 | -0.058925 | 0.258520 | 0.480526 | 0.546531 | -0.014289 | 0.513841 | 0.285349 | 0.627588 | 0.544457 | -0.024246 | 0.640386 | 0.322247 | 1.000000 | 0.848688 | -0.013666 | -0.008086 | -0.001431 | 0.000081 | -0.002878 | -0.053430 | -0.042892 | -0.140355 | 0.334834 | 0.286158 | 0.310334 | 0.210644 | 0.546485 | -0.008086 | -0.002556 | 0.046698 | -0.092751 | -0.026978 | -0.001431 | -0.002568 | 0.021594 | 0.276199 | 0.232671 | 0.225366 | 0.000449 | 0.034978 | 0.000249 | -0.000674 | 0.012386 | -0.035120 | 0.000255 | -0.002237 | 0.086474 | 0.092368 | 0.094847 | 0.057352 | 0.543609 | 0.158919 | 0.551093 | 0.526289 |
| Bwd IAT Max | -0.062743 | 0.579842 | 0.003066 | 0.003151 | 0.040256 | 0.001712 | 0.252085 | -0.034992 | 0.222980 | 0.250552 | 0.232750 | -0.098589 | 0.191118 | 0.199286 | -0.015379 | -0.068047 | 0.487839 | 0.676758 | 0.645291 | -0.015928 | 0.577072 | 0.623023 | 0.541485 | 0.643445 | 0.404734 | 0.719447 | 0.706139 | 0.848688 | 1.000000 | 0.466697 | 0.016430 | -0.001653 | 0.000133 | -0.002821 | -0.061701 | -0.049531 | -0.085644 | 0.287112 | 0.254196 | 0.260393 | 0.168089 | 0.471303 | 0.016430 | -0.002833 | 0.024180 | -0.103662 | -0.039886 | -0.001653 | -0.002848 | 0.041691 | 0.243654 | 0.222980 | 0.191118 | 0.003066 | 0.040309 | 0.003151 | 0.001712 | -0.004400 | -0.044417 | 0.002418 | -0.002159 | 0.117111 | 0.103540 | 0.113877 | 0.084741 | 0.645118 | 0.167263 | 0.650946 | 0.627913 |
| Bwd IAT Min | -0.055626 | 0.212468 | -0.001157 | -0.001111 | -0.005184 | -0.000933 | -0.028605 | 0.039306 | -0.009478 | -0.028041 | -0.052555 | 0.056262 | -0.048424 | -0.049291 | -0.006534 | -0.028900 | 0.573397 | 0.544190 | 0.302251 | -0.005784 | 0.213596 | 0.797318 | -0.008436 | 0.302053 | 0.883639 | 0.266906 | 0.933072 | -0.013666 | 0.466697 | 1.000000 | 0.047318 | -0.000702 | 0.000154 | 0.000116 | -0.026205 | -0.021037 | 0.103354 | -0.055281 | -0.048096 | -0.055212 | -0.038980 | -0.021427 | 0.047318 | -0.002055 | -0.071367 | -0.040326 | -0.041718 | -0.000702 | -0.002059 | 0.029533 | -0.046506 | -0.009478 | -0.048424 | -0.001157 | -0.005191 | -0.001111 | -0.000933 | -0.049055 | -0.025171 | -0.000810 | 0.000212 | 0.013216 | 0.022748 | 0.009128 | 0.002127 | 0.309323 | 0.024993 | 0.305247 | 0.309315 |
| Fwd PSH Flags | 0.234408 | -0.017442 | 0.001881 | 0.001674 | 0.008675 | 0.001641 | 0.005481 | 0.096519 | 0.062477 | 0.015962 | -0.101014 | -0.092290 | -0.110404 | -0.092766 | 0.172062 | 0.287512 | 0.052233 | -0.012990 | -0.012342 | 0.083166 | -0.016784 | 0.017821 | -0.022960 | -0.012292 | 0.029745 | 0.000736 | 0.042307 | -0.008086 | 0.016430 | 0.047318 | 1.000000 | 0.024965 | 0.000302 | 0.000438 | 0.305757 | -0.022194 | -0.098607 | -0.084142 | -0.072491 | -0.077614 | -0.059973 | -0.041456 | 1.000000 | -0.003758 | -0.148460 | 0.335648 | -0.014234 | 0.024965 | -0.003542 | -0.150404 | -0.066209 | 0.062477 | -0.110404 | 0.001881 | 0.008682 | 0.001674 | 0.001640 | -0.052450 | -0.044321 | 0.001992 | 0.000616 | 0.003335 | 0.006791 | 0.003066 | -0.001909 | -0.029506 | 0.017559 | -0.025800 | -0.032386 |
| Fwd URG Flags | 0.004436 | -0.002680 | -0.000060 | -0.000061 | -0.000328 | -0.000043 | -0.001736 | -0.001769 | -0.001837 | -0.001481 | -0.002719 | -0.003377 | -0.003053 | -0.002432 | -0.000294 | 0.009848 | -0.001756 | -0.002206 | -0.002282 | -0.000321 | -0.002630 | -0.001658 | -0.002058 | -0.002240 | -0.000713 | -0.002091 | -0.001228 | -0.001431 | -0.001653 | -0.000702 | 0.024965 | 1.000000 | 0.000007 | 0.000009 | 0.010421 | -0.000495 | -0.003692 | -0.002850 | -0.003395 | -0.002839 | -0.001788 | -0.001035 | 0.024965 | -0.000094 | -0.000776 | -0.003819 | 0.016806 | 1.000000 | -0.000094 | -0.004252 | -0.003483 | -0.001837 | -0.003053 | -0.000060 | -0.000329 | -0.000061 | -0.000043 | 0.016519 | -0.001421 | -0.000051 | 0.000015 | -0.000758 | -0.000630 | -0.000901 | -0.000609 | -0.002138 | -0.000660 | -0.002168 | -0.002058 |
| Fwd Header Length | 0.000462 | -0.000091 | 0.000476 | 0.000757 | -0.001337 | 0.000751 | 0.000262 | -0.000711 | -0.000054 | 0.000296 | 0.000651 | 0.000674 | 0.000720 | 0.000575 | 0.000042 | 0.000183 | 0.000309 | 0.000301 | 0.000063 | 0.000074 | -0.000104 | 0.000296 | 0.000254 | 0.000054 | 0.000158 | 0.000316 | 0.000195 | 0.000081 | 0.000133 | 0.000154 | 0.000302 | 0.000007 | 1.000000 | 0.069218 | 0.000151 | 0.000210 | -0.001820 | 0.000630 | 0.000515 | 0.000649 | 0.000423 | 0.000241 | 0.000302 | 0.000022 | 0.000876 | 0.000895 | 0.000443 | 0.000007 | 0.000022 | 0.001153 | 0.000551 | -0.000054 | 0.000720 | 0.000476 | -0.001339 | 0.000757 | 0.000751 | 0.000668 | 0.000332 | 0.000339 | 0.566449 | -0.001450 | -0.002219 | -0.001723 | -0.000350 | 0.000213 | -0.000589 | 0.000079 | 0.000320 |
| Bwd Header Length | 0.000768 | -0.001042 | 0.013751 | 0.013766 | 0.005023 | 0.013691 | 0.000604 | -0.000680 | 0.000216 | 0.000500 | 0.001160 | -0.000668 | 0.001127 | 0.000885 | 0.000069 | 0.000319 | -0.000535 | -0.001134 | -0.001630 | 0.000086 | -0.001067 | -0.000567 | -0.001514 | -0.001644 | 0.000121 | -0.001544 | -0.000787 | -0.002878 | -0.002821 | 0.000116 | 0.000438 | 0.000009 | 0.069218 | 1.000000 | 0.000316 | 0.000099 | -0.001784 | 0.001192 | 0.001191 | 0.001065 | 0.000660 | 0.000323 | 0.000438 | 0.000033 | 0.001324 | 0.001251 | 0.000571 | 0.000009 | 0.000033 | -0.000656 | 0.001167 | 0.000216 | 0.001127 | 0.013751 | 0.005030 | 0.013766 | 0.013691 | 0.001000 | 0.000452 | 0.012127 | 0.679353 | -0.006921 | -0.004195 | -0.005386 | -0.005669 | -0.001090 | -0.004552 | -0.001677 | -0.000466 |
| Fwd Packets/s | 0.348737 | -0.100047 | -0.002146 | -0.002240 | -0.010684 | -0.001564 | -0.048870 | -0.048249 | -0.035481 | -0.029670 | -0.101143 | -0.118331 | -0.113024 | -0.090708 | 0.299155 | 0.980478 | -0.065560 | -0.082328 | -0.085165 | -0.011993 | -0.098180 | -0.061879 | -0.076818 | -0.083605 | -0.026606 | -0.078051 | -0.045825 | -0.053430 | -0.061701 | -0.026205 | 0.305757 | 0.010421 | 0.000151 | 0.000316 | 1.000000 | 0.141911 | -0.097172 | -0.100533 | -0.100771 | -0.096198 | -0.064704 | -0.001940 | 0.305757 | -0.003500 | -0.102175 | 0.247413 | -0.028778 | 0.010421 | -0.003508 | -0.165589 | -0.094873 | -0.035481 | -0.113024 | -0.002146 | -0.010698 | -0.002240 | -0.001564 | -0.054346 | -0.031991 | -0.001662 | 0.000339 | -0.028306 | -0.023534 | -0.033633 | -0.022732 | -0.079806 | -0.024638 | -0.080945 | -0.076826 |
| Bwd Packets/s | 0.144848 | -0.080310 | -0.001651 | -0.001367 | -0.009371 | -0.001010 | -0.049320 | -0.025531 | -0.045869 | -0.043763 | -0.079353 | -0.054627 | -0.085670 | -0.072351 | 0.007225 | 0.323595 | -0.052629 | -0.066091 | -0.068367 | -0.009626 | -0.078812 | -0.049676 | -0.061668 | -0.067116 | -0.021359 | -0.062652 | -0.036787 | -0.042892 | -0.049531 | -0.021037 | -0.022194 | -0.000495 | 0.000210 | 0.000099 | 0.141911 | 1.000000 | -0.054591 | -0.083171 | -0.093545 | -0.082607 | -0.053178 | 0.009695 | -0.022194 | -0.002805 | -0.008410 | 0.089121 | 0.150957 | -0.000495 | -0.002809 | 0.100724 | -0.094695 | -0.045869 | -0.085670 | -0.001651 | -0.009384 | -0.001367 | -0.001010 | -0.025384 | 0.059560 | -0.001215 | 0.000332 | -0.022713 | -0.018891 | -0.026992 | -0.018238 | -0.064066 | -0.019779 | -0.064981 | -0.061674 |
| Min Packet Length | -0.253890 | -0.246258 | -0.006772 | -0.006133 | -0.028447 | -0.004886 | -0.145585 | 0.442349 | -0.007167 | -0.167430 | -0.273644 | 0.718671 | -0.226316 | -0.278569 | -0.003458 | -0.102728 | -0.043553 | -0.127675 | -0.180426 | 0.009958 | -0.241631 | -0.006117 | -0.218748 | -0.177265 | 0.109753 | -0.175996 | 0.042036 | -0.140355 | -0.085644 | 0.103354 | -0.098607 | -0.003692 | -0.001820 | -0.001784 | -0.097172 | -0.054591 | 1.000000 | -0.286520 | -0.214086 | -0.284081 | -0.203536 | -0.113823 | -0.098607 | -0.010812 | -0.421720 | -0.366515 | -0.169564 | -0.003692 | -0.010830 | 0.201903 | -0.184653 | -0.007167 | -0.226316 | -0.006772 | -0.028485 | -0.006133 | -0.004886 | -0.308955 | -0.154049 | -0.004798 | -0.003179 | -0.075490 | -0.068996 | -0.095010 | -0.058664 | -0.169599 | -0.066233 | -0.174032 | -0.160977 |
| Max Packet Length | -0.145416 | 0.500428 | 0.021710 | 0.021448 | 0.074643 | 0.020697 | 0.379118 | -0.115133 | 0.287077 | 0.373314 | 0.947119 | -0.256496 | 0.902921 | 0.931345 | -0.006724 | -0.111327 | 0.219939 | 0.486786 | 0.586409 | -0.027889 | 0.496834 | 0.214360 | 0.619797 | 0.584441 | -0.056666 | 0.248343 | 0.049088 | 0.334834 | 0.287112 | -0.055281 | -0.084142 | -0.002850 | 0.000630 | 0.001192 | -0.100533 | -0.083171 | -0.286520 | 1.000000 | 0.916385 | 0.984006 | 0.895125 | 0.230591 | -0.084142 | 0.005077 | 0.258841 | 0.000528 | -0.124614 | -0.002850 | 0.005044 | -0.048419 | 0.911602 | 0.287077 | 0.902921 | 0.021710 | 0.074744 | 0.021448 | 0.020698 | 0.110797 | -0.061078 | 0.016049 | 0.001273 | 0.091808 | 0.040539 | 0.088518 | 0.090026 | 0.576558 | 0.221699 | 0.588717 | 0.550961 |
| Packet Length Mean | -0.173263 | 0.416048 | 0.024218 | 0.024638 | 0.081216 | 0.023292 | 0.330176 | -0.056330 | 0.297016 | 0.325617 | 0.878858 | -0.188302 | 0.920774 | 0.849175 | 0.052917 | -0.113472 | 0.171331 | 0.408233 | 0.502672 | -0.029999 | 0.411833 | 0.176140 | 0.528341 | 0.498768 | -0.050857 | 0.204580 | 0.033385 | 0.286158 | 0.254196 | -0.048096 | -0.072491 | -0.003395 | 0.000515 | 0.001191 | -0.100771 | -0.093545 | -0.214086 | 0.916385 | 1.000000 | 0.942617 | 0.805415 | 0.213323 | -0.072491 | 0.007961 | 0.289260 | -0.079493 | -0.163219 | -0.003395 | 0.007935 | 0.034402 | 0.997822 | 0.297016 | 0.920774 | 0.024218 | 0.081324 | 0.024638 | 0.023293 | 0.131104 | -0.077936 | 0.018735 | 0.001124 | 0.084901 | 0.053805 | 0.090696 | 0.076592 | 0.498346 | 0.151412 | 0.503543 | 0.481919 |
| Packet Length Std | -0.141429 | 0.443989 | 0.011618 | 0.011476 | 0.057194 | 0.011006 | 0.341987 | -0.102357 | 0.279039 | 0.352335 | 0.938609 | -0.244136 | 0.918088 | 0.941421 | 0.008492 | -0.107088 | 0.201777 | 0.455181 | 0.546752 | -0.028231 | 0.440394 | 0.197457 | 0.583181 | 0.544220 | -0.056890 | 0.201779 | 0.039584 | 0.310334 | 0.260393 | -0.055212 | -0.077614 | -0.002839 | 0.000649 | 0.001065 | -0.096198 | -0.082607 | -0.284081 | 0.984006 | 0.942617 | 1.000000 | 0.924938 | 0.225213 | -0.077614 | 0.004898 | 0.267433 | -0.011510 | -0.127243 | -0.002839 | 0.004875 | -0.026684 | 0.943070 | 0.279039 | 0.918088 | 0.011618 | 0.057271 | 0.011476 | 0.011007 | 0.103945 | -0.064545 | 0.008783 | 0.001314 | 0.073619 | 0.026150 | 0.066670 | 0.074742 | 0.538078 | 0.200755 | 0.548593 | 0.515289 |
| Packet Length Variance | -0.078732 | 0.270932 | 0.005111 | 0.005084 | 0.033710 | 0.005715 | 0.252559 | -0.088492 | 0.211376 | 0.277683 | 0.851858 | -0.186164 | 0.793072 | 0.890249 | -0.003458 | -0.071587 | 0.150775 | 0.335277 | 0.394554 | -0.017913 | 0.269389 | 0.144682 | 0.427877 | 0.393237 | -0.039587 | 0.077077 | 0.021714 | 0.210644 | 0.168089 | -0.038980 | -0.059973 | -0.001788 | 0.000423 | 0.000660 | -0.064704 | -0.053178 | -0.203536 | 0.895125 | 0.805415 | 0.924938 | 1.000000 | 0.174009 | -0.059973 | -0.001854 | 0.156463 | 0.022475 | -0.076057 | -0.001788 | -0.001869 | 0.001490 | 0.816668 | 0.211376 | 0.793072 | 0.005111 | 0.033755 | 0.005084 | 0.005715 | 0.009953 | -0.057693 | 0.003933 | 0.000856 | 0.036293 | -0.012354 | 0.015480 | 0.046099 | 0.386349 | 0.168120 | 0.397072 | 0.367157 |
| FIN Flag Count | -0.038278 | 0.217935 | -0.001352 | -0.001196 | -0.005915 | -0.000832 | -0.003216 | -0.051602 | -0.015083 | 0.009741 | 0.247896 | -0.101384 | 0.216194 | 0.230976 | -0.008180 | -0.000590 | 0.146571 | 0.301643 | 0.341055 | -0.008747 | 0.219590 | 0.178633 | 0.419664 | 0.340811 | -0.022963 | 0.247290 | 0.136021 | 0.546485 | 0.471303 | -0.021427 | -0.041456 | -0.001035 | 0.000241 | 0.000323 | -0.001940 | 0.009695 | -0.113823 | 0.230591 | 0.213323 | 0.225213 | 0.174009 | 1.000000 | -0.041456 | -0.003031 | -0.119819 | -0.092947 | -0.061584 | -0.001035 | -0.002901 | 0.015811 | 0.209627 | -0.015083 | 0.216194 | -0.001352 | -0.005923 | -0.001196 | -0.000832 | -0.091044 | -0.033162 | -0.001078 | 0.000496 | -0.022536 | -0.020296 | -0.027849 | -0.017505 | 0.354959 | 0.010021 | 0.345467 | 0.357718 |
| SYN Flag Count | 0.234408 | -0.017442 | 0.001881 | 0.001674 | 0.008675 | 0.001641 | 0.005481 | 0.096519 | 0.062477 | 0.015962 | -0.101014 | -0.092290 | -0.110404 | -0.092766 | 0.172062 | 0.287512 | 0.052233 | -0.012990 | -0.012342 | 0.083166 | -0.016784 | 0.017821 | -0.022960 | -0.012292 | 0.029745 | 0.000736 | 0.042307 | -0.008086 | 0.016430 | 0.047318 | 1.000000 | 0.024965 | 0.000302 | 0.000438 | 0.305757 | -0.022194 | -0.098607 | -0.084142 | -0.072491 | -0.077614 | -0.059973 | -0.041456 | 1.000000 | -0.003758 | -0.148460 | 0.335648 | -0.014234 | 0.024965 | -0.003542 | -0.150404 | -0.066209 | 0.062477 | -0.110404 | 0.001881 | 0.008682 | 0.001674 | 0.001640 | -0.052450 | -0.044321 | 0.001992 | 0.000616 | 0.003335 | 0.006791 | 0.003066 | -0.001909 | -0.029506 | 0.017559 | -0.025800 | -0.032386 |
| RST Flag Count | -0.007201 | 0.008007 | 0.000337 | 0.000212 | 0.004455 | 0.000119 | 0.017716 | -0.005181 | 0.012867 | 0.014562 | 0.004682 | -0.010027 | 0.005541 | 0.004539 | -0.000865 | -0.003859 | 0.002506 | 0.009188 | 0.013991 | -0.000941 | 0.007056 | 0.001162 | 0.010745 | 0.013032 | -0.002087 | -0.004204 | -0.003015 | -0.002556 | -0.002833 | -0.002055 | -0.003758 | -0.000094 | 0.000022 | 0.000033 | -0.003500 | -0.002805 | -0.010812 | 0.005077 | 0.007961 | 0.004898 | -0.001854 | -0.003031 | -0.003758 | 1.000000 | 0.025297 | -0.011184 | -0.005582 | -0.000094 | 0.997820 | -0.006739 | 0.007159 | 0.012867 | 0.005541 | 0.000337 | 0.004461 | 0.000212 | 0.000119 | 0.020722 | 0.001956 | 0.000392 | 0.000045 | 0.003073 | 0.007561 | 0.003439 | -0.000288 | -0.005425 | -0.000413 | -0.005299 | -0.005387 |
| PSH Flag Count | -0.220909 | 0.177430 | 0.007011 | 0.006444 | 0.044400 | 0.003757 | 0.224345 | -0.202421 | 0.090603 | 0.197414 | 0.250973 | -0.386490 | 0.228343 | 0.234821 | -0.032155 | -0.098761 | -0.067291 | -0.087143 | -0.074431 | -0.034335 | 0.168557 | -0.080597 | -0.071075 | -0.079402 | -0.079892 | 0.274660 | -0.022734 | 0.046698 | 0.024180 | -0.071367 | -0.148460 | -0.000776 | 0.000876 | 0.001324 | -0.102175 | -0.008410 | -0.421720 | 0.258841 | 0.289260 | 0.267433 | 0.156463 | -0.119819 | -0.148460 | 0.025297 | 1.000000 | -0.439611 | -0.220599 | -0.000776 | 0.025194 | -0.093664 | 0.272353 | 0.090603 | 0.228343 | 0.007011 | 0.044461 | 0.006444 | 0.003758 | 0.572483 | 0.101679 | 0.004531 | 0.001779 | 0.118440 | 0.129654 | 0.164101 | 0.088550 | -0.089102 | -0.028732 | -0.089275 | -0.088311 |
| ACK Flag Count | 0.586633 | 0.032749 | 0.001370 | 0.001199 | -0.003624 | 0.002338 | -0.027329 | -0.106016 | -0.006043 | 0.005842 | -0.019388 | -0.373400 | -0.036439 | 0.007190 | 0.058816 | 0.252128 | 0.095001 | 0.122597 | 0.161407 | 0.074089 | 0.035212 | 0.033475 | 0.166999 | 0.162294 | -0.024797 | -0.158978 | -0.077806 | -0.092751 | -0.103662 | -0.040326 | 0.335648 | -0.003819 | 0.000895 | 0.001251 | 0.247413 | 0.089121 | -0.366515 | 0.000528 | -0.079493 | -0.011510 | 0.022475 | -0.092947 | 0.335648 | -0.011184 | -0.439611 | 1.000000 | 0.498857 | -0.003819 | -0.011053 | -0.170706 | -0.086517 | -0.006043 | -0.036439 | 0.001370 | -0.003631 | 0.001199 | 0.002337 | -0.146753 | 0.106439 | 0.001602 | 0.001832 | -0.027568 | -0.053765 | -0.054352 | -0.011654 | 0.152126 | 0.101997 | 0.160923 | 0.140253 |
| URG Flag Count | 0.525049 | -0.118388 | -0.003818 | -0.003174 | -0.005221 | -0.002558 | 0.021213 | 0.016190 | 0.050233 | 0.036072 | -0.160616 | -0.193022 | -0.179665 | -0.143655 | -0.015194 | 0.001060 | -0.018948 | -0.094329 | -0.082381 | 0.079958 | -0.119875 | -0.049203 | -0.079364 | -0.083644 | -0.009693 | -0.087183 | -0.056729 | -0.026978 | -0.039886 | -0.041718 | -0.014234 | 0.016806 | 0.000443 | 0.000571 | -0.028778 | 0.150957 | -0.169564 | -0.124614 | -0.163219 | -0.127243 | -0.076057 | -0.061584 | -0.014234 | -0.005582 | -0.220599 | 0.498857 | 1.000000 | 0.016806 | -0.005594 | 0.282622 | -0.166893 | 0.050233 | -0.179665 | -0.003818 | -0.005228 | -0.003174 | -0.002558 | -0.085497 | 0.200056 | -0.002908 | 0.000915 | -0.025784 | -0.037512 | -0.041380 | -0.014513 | -0.093085 | 0.023530 | -0.087470 | -0.096777 |
| CWE Flag Count | 0.004436 | -0.002680 | -0.000060 | -0.000061 | -0.000328 | -0.000043 | -0.001736 | -0.001769 | -0.001837 | -0.001481 | -0.002719 | -0.003377 | -0.003053 | -0.002432 | -0.000294 | 0.009848 | -0.001756 | -0.002206 | -0.002282 | -0.000321 | -0.002630 | -0.001658 | -0.002058 | -0.002240 | -0.000713 | -0.002091 | -0.001228 | -0.001431 | -0.001653 | -0.000702 | 0.024965 | 1.000000 | 0.000007 | 0.000009 | 0.010421 | -0.000495 | -0.003692 | -0.002850 | -0.003395 | -0.002839 | -0.001788 | -0.001035 | 0.024965 | -0.000094 | -0.000776 | -0.003819 | 0.016806 | 1.000000 | -0.000094 | -0.004252 | -0.003483 | -0.001837 | -0.003053 | -0.000060 | -0.000329 | -0.000061 | -0.000043 | 0.016519 | -0.001421 | -0.000051 | 0.000015 | -0.000758 | -0.000630 | -0.000901 | -0.000609 | -0.002138 | -0.000660 | -0.002168 | -0.002058 |
| ECE Flag Count | -0.007112 | 0.007955 | 0.000335 | 0.000211 | 0.004444 | 0.000118 | 0.017697 | -0.004667 | 0.012979 | 0.014511 | 0.004638 | -0.010047 | 0.005491 | 0.004499 | -0.000867 | -0.003867 | 0.002479 | 0.009140 | 0.013932 | -0.000943 | 0.007007 | 0.001138 | 0.010695 | 0.012975 | -0.002091 | -0.004221 | -0.003025 | -0.002568 | -0.002848 | -0.002059 | -0.003542 | -0.000094 | 0.000022 | 0.000033 | -0.003508 | -0.002809 | -0.010830 | 0.005044 | 0.007935 | 0.004875 | -0.001869 | -0.002901 | -0.003542 | 0.997820 | 0.025194 | -0.011053 | -0.005594 | -0.000094 | 1.000000 | -0.006520 | 0.007137 | 0.012979 | 0.005491 | 0.000335 | 0.004450 | 0.000211 | 0.000118 | 0.020641 | 0.001961 | 0.000391 | 0.000045 | 0.003057 | 0.007537 | 0.003420 | -0.000295 | -0.005440 | -0.000421 | -0.005315 | -0.005402 |
| Down/Up Ratio | 0.029136 | -0.165489 | 0.000906 | 0.003301 | -0.011741 | 0.002963 | -0.051007 | 0.293750 | 0.031291 | -0.065195 | -0.045987 | 0.201233 | -0.019834 | -0.060456 | -0.040797 | -0.139139 | -0.088179 | -0.094613 | -0.119376 | -0.051682 | -0.178021 | -0.044783 | -0.135619 | -0.133872 | 0.023090 | -0.055595 | 0.017867 | 0.021594 | 0.041691 | 0.029533 | -0.150404 | -0.004252 | 0.001153 | -0.000656 | -0.165589 | 0.100724 | 0.201903 | -0.048419 | 0.034402 | -0.026684 | 0.001490 | 0.015811 | -0.150404 | -0.006739 | -0.093664 | -0.170706 | 0.282622 | -0.004252 | -0.006520 | 1.000000 | 0.043197 | 0.031291 | -0.019834 | 0.000906 | -0.011756 | 0.003301 | 0.002963 | -0.176289 | -0.038824 | 0.001067 | 0.000804 | -0.033960 | -0.034794 | -0.050842 | -0.025131 | -0.103488 | -0.056353 | -0.108763 | -0.095795 |
| Average Packet Size | -0.174613 | 0.393604 | 0.021842 | 0.022271 | 0.075875 | 0.021142 | 0.321559 | -0.039194 | 0.299053 | 0.321349 | 0.873778 | -0.162005 | 0.915088 | 0.849090 | 0.082688 | -0.108060 | 0.166480 | 0.397865 | 0.488410 | -0.029348 | 0.389691 | 0.171939 | 0.514999 | 0.484636 | -0.048829 | 0.184908 | 0.031320 | 0.276199 | 0.243654 | -0.046506 | -0.066209 | -0.003483 | 0.000551 | 0.001167 | -0.094873 | -0.094695 | -0.184653 | 0.911602 | 0.997822 | 0.943070 | 0.816668 | 0.209627 | -0.066209 | 0.007159 | 0.272353 | -0.086517 | -0.166893 | -0.003483 | 0.007137 | 0.043197 | 1.000000 | 0.299053 | 0.915088 | 0.021842 | 0.075975 | 0.022271 | 0.021142 | 0.113864 | -0.083681 | 0.016892 | 0.001173 | 0.075555 | 0.044355 | 0.078266 | 0.069584 | 0.484682 | 0.146102 | 0.489543 | 0.468987 |
| Avg Fwd Segment Size | 0.136910 | 0.133495 | -0.000279 | -0.000632 | 0.185030 | -0.001673 | 0.888951 | 0.244083 | 1.000000 | 0.897729 | -0.003252 | -0.039421 | -0.014037 | -0.006219 | 0.086402 | -0.042348 | 0.046005 | 0.111272 | 0.141295 | -0.012137 | 0.130055 | 0.063824 | 0.163039 | 0.144788 | -0.011616 | 0.168708 | 0.059601 | 0.232671 | 0.222980 | -0.009478 | 0.062477 | -0.001837 | -0.000054 | 0.000216 | -0.035481 | -0.045869 | -0.007167 | 0.287077 | 0.297016 | 0.279039 | 0.211376 | -0.015083 | 0.062477 | 0.012867 | 0.090603 | -0.006043 | 0.050233 | -0.001837 | 0.012979 | 0.031291 | 0.299053 | 1.000000 | -0.014037 | -0.000279 | 0.185273 | -0.000632 | -0.001673 | 0.046373 | -0.015123 | 0.000115 | 0.000121 | 0.090354 | 0.053958 | 0.090333 | 0.078874 | 0.119456 | 0.176843 | 0.140131 | 0.095581 |
| Avg Bwd Segment Size | -0.240833 | 0.447411 | 0.021099 | 0.021223 | 0.016281 | 0.020533 | 0.063338 | -0.113585 | -0.014037 | 0.055767 | 0.958121 | -0.172368 | 1.000000 | 0.940673 | -0.025927 | -0.123698 | 0.203426 | 0.468383 | 0.567710 | -0.030053 | 0.444219 | 0.195257 | 0.585550 | 0.563101 | -0.050871 | 0.146164 | 0.015256 | 0.225366 | 0.191118 | -0.048424 | -0.110404 | -0.003053 | 0.000720 | 0.001127 | -0.113024 | -0.085670 | -0.226316 | 0.902921 | 0.920774 | 0.918088 | 0.793072 | 0.216194 | -0.110404 | 0.005541 | 0.228343 | -0.036439 | -0.179665 | -0.003053 | 0.005491 | -0.019834 | 0.915088 | -0.014037 | 1.000000 | 0.021099 | 0.016304 | 0.021223 | 0.020533 | 0.101161 | -0.079711 | 0.016107 | 0.001321 | 0.069529 | 0.027213 | 0.064798 | 0.070239 | 0.564833 | 0.166486 | 0.569780 | 0.547220 |
| Subflow Fwd Packets | -0.004695 | 0.020544 | 1.000000 | 0.999070 | 0.365510 | 0.996997 | 0.009047 | -0.003240 | -0.000279 | 0.001084 | 0.022528 | -0.006060 | 0.021099 | 0.006006 | 0.000390 | -0.002353 | -0.001398 | -0.000995 | 0.001822 | -0.000594 | 0.020213 | -0.001392 | -0.000371 | 0.001378 | -0.001303 | 0.023771 | -0.000906 | 0.000449 | 0.003066 | -0.001157 | 0.001881 | -0.000060 | 0.000476 | 0.013751 | -0.002146 | -0.001651 | -0.006772 | 0.021710 | 0.024218 | 0.011618 | 0.005111 | -0.001352 | 0.001881 | 0.000337 | 0.007011 | 0.001370 | -0.003818 | -0.000060 | 0.000335 | 0.000906 | 0.021842 | -0.000279 | 0.021099 | 1.000000 | 0.365992 | 0.999070 | 0.996987 | 0.003700 | -0.000680 | 0.887386 | -0.000181 | 0.039856 | 0.008195 | 0.030334 | 0.041227 | 0.001364 | 0.000664 | 0.001444 | 0.001229 |
| Subflow Fwd Bytes | 0.009490 | 0.063426 | 0.365992 | 0.359939 | 0.999999 | 0.354267 | 0.196441 | -0.001687 | 0.185273 | 0.159016 | 0.020597 | -0.027827 | 0.016304 | 0.007509 | 0.002238 | -0.011945 | 0.002599 | 0.012526 | 0.024733 | -0.003073 | 0.062608 | 0.004156 | 0.021100 | 0.024812 | -0.006203 | 0.076033 | 0.006404 | 0.034978 | 0.040309 | -0.005191 | 0.008682 | -0.000329 | -0.001339 | 0.005030 | -0.010698 | -0.009384 | -0.028485 | 0.074744 | 0.081324 | 0.057271 | 0.033755 | -0.005923 | 0.008682 | 0.004461 | 0.044461 | -0.003631 | -0.005228 | -0.000329 | 0.004450 | -0.011756 | 0.075975 | 0.185273 | 0.016304 | 0.365992 | 1.000000 | 0.359939 | 0.354269 | 0.030578 | 0.009938 | 0.408010 | -0.001193 | 0.100501 | 0.102816 | 0.125845 | 0.067814 | 0.020484 | 0.026383 | 0.023907 | 0.016497 |
| Subflow Bwd Packets | -0.004394 | 0.019366 | 0.999070 | 1.000000 | 0.359457 | 0.994433 | 0.008742 | -0.002819 | -0.000632 | 0.000719 | 0.022322 | -0.005339 | 0.021223 | 0.005686 | 0.000337 | -0.002389 | -0.001741 | -0.001463 | 0.001369 | -0.000620 | 0.019016 | -0.001569 | -0.000895 | 0.000911 | -0.001172 | 0.023198 | -0.001060 | 0.000249 | 0.003151 | -0.001111 | 0.001674 | -0.000061 | 0.000757 | 0.013766 | -0.002240 | -0.001367 | -0.006133 | 0.021448 | 0.024638 | 0.011476 | 0.005084 | -0.001196 | 0.001674 | 0.000212 | 0.006444 | 0.001199 | -0.003174 | -0.000061 | 0.000211 | 0.003301 | 0.022271 | -0.000632 | 0.021223 | 0.999070 | 0.359939 | 1.000000 | 0.994424 | 0.003141 | -0.000680 | 0.882566 | 0.000021 | 0.038888 | 0.006308 | 0.028483 | 0.041227 | 0.000985 | 0.000353 | 0.001010 | 0.000905 |
| Subflow Bwd Bytes | -0.003419 | 0.015980 | 0.996987 | 0.994424 | 0.353789 | 1.000000 | 0.006392 | -0.002343 | -0.001673 | -0.000704 | 0.021818 | -0.004258 | 0.020533 | 0.005745 | 0.000531 | -0.001678 | -0.001659 | -0.001512 | 0.000805 | -0.000431 | 0.015664 | -0.001544 | -0.001048 | 0.000354 | -0.000948 | 0.018943 | -0.001320 | -0.000674 | 0.001712 | -0.000933 | 0.001640 | -0.000043 | 0.000751 | 0.013691 | -0.001564 | -0.001010 | -0.004886 | 0.020698 | 0.023293 | 0.011007 | 0.005715 | -0.000832 | 0.001640 | 0.000119 | 0.003758 | 0.002337 | -0.002558 | -0.000043 | 0.000118 | 0.002963 | 0.021142 | -0.001673 | 0.020533 | 0.996987 | 0.354269 | 0.994424 | 1.000000 | 0.001215 | -0.000775 | 0.883986 | 0.000020 | 0.035915 | 0.003396 | 0.024759 | 0.039045 | 0.000479 | 0.000001 | 0.000463 | 0.000471 |
| Init_Win_bytes_forward | -0.135038 | 0.092673 | 0.003700 | 0.003141 | 0.030537 | 0.001214 | 0.156469 | -0.146483 | 0.046373 | 0.130897 | 0.109001 | -0.294326 | 0.101161 | 0.088591 | -0.013384 | -0.056660 | 0.007126 | -0.070115 | -0.047140 | 0.072049 | 0.087390 | -0.039458 | -0.059379 | -0.050468 | -0.026902 | 0.139103 | -0.026021 | 0.012386 | -0.004400 | -0.049055 | -0.052450 | 0.016519 | 0.000668 | 0.001000 | -0.054346 | -0.025384 | -0.308955 | 0.110797 | 0.131104 | 0.103945 | 0.009953 | -0.091044 | -0.052450 | 0.020722 | 0.572483 | -0.146753 | -0.085497 | 0.016519 | 0.020641 | -0.176289 | 0.113864 | 0.046373 | 0.101161 | 0.003700 | 0.030578 | 0.003141 | 0.001215 | 1.000000 | 0.092347 | 0.000757 | 0.001360 | 0.077142 | 0.068708 | 0.095382 | 0.062700 | -0.067257 | -0.023996 | -0.067391 | -0.065901 |
| Init_Win_bytes_backward | 0.205433 | -0.035393 | -0.000680 | -0.000680 | 0.009925 | -0.000775 | 0.015827 | -0.069907 | -0.015123 | 0.014220 | -0.065538 | -0.144310 | -0.079711 | -0.059690 | -0.012209 | -0.019731 | -0.034407 | -0.050498 | -0.061369 | -0.013908 | -0.035987 | -0.039945 | -0.045067 | -0.061873 | -0.029565 | -0.015310 | -0.033781 | -0.035120 | -0.044417 | -0.025171 | -0.044321 | -0.001421 | 0.000332 | 0.000452 | -0.031991 | 0.059560 | -0.154049 | -0.061078 | -0.077936 | -0.064545 | -0.057693 | -0.033162 | -0.044321 | 0.001956 | 0.101679 | 0.106439 | 0.200056 | -0.001421 | 0.001961 | -0.038824 | -0.083681 | -0.015123 | -0.079711 | -0.000680 | 0.009938 | -0.000680 | -0.000775 | 0.092347 | 1.000000 | -0.000390 | 0.000682 | 0.013839 | 0.014062 | 0.018121 | 0.009815 | -0.069982 | -0.020962 | -0.070864 | -0.067833 |
| act_data_pkt_fwd | -0.003574 | 0.015709 | 0.887386 | 0.882566 | 0.407473 | 0.883980 | 0.007325 | -0.002293 | 0.000115 | 0.000792 | 0.016562 | -0.004303 | 0.016107 | 0.004266 | 0.000395 | -0.001811 | -0.001329 | -0.001227 | 0.000815 | -0.000465 | 0.015410 | -0.001271 | -0.000849 | 0.000413 | -0.000942 | 0.018962 | -0.000689 | 0.000255 | 0.002418 | -0.000810 | 0.001992 | -0.000051 | 0.000339 | 0.012127 | -0.001662 | -0.001215 | -0.004798 | 0.016049 | 0.018735 | 0.008783 | 0.003933 | -0.001078 | 0.001992 | 0.000392 | 0.004531 | 0.001602 | -0.002908 | -0.000051 | 0.000391 | 0.001067 | 0.016892 | 0.000115 | 0.016107 | 0.887386 | 0.408010 | 0.882566 | 0.883986 | 0.000757 | -0.000390 | 1.000000 | -0.000227 | 0.029927 | 0.005379 | 0.021976 | 0.031372 | 0.000489 | 0.000612 | 0.000577 | 0.000376 |
| min_seg_size_forward | 0.001014 | -0.001225 | -0.000181 | 0.000021 | -0.001192 | 0.000020 | 0.000608 | -0.001226 | 0.000121 | 0.000659 | 0.001260 | 0.000338 | 0.001321 | 0.001166 | 0.000080 | 0.000385 | -0.000133 | -0.000618 | -0.001274 | 0.000143 | -0.001252 | -0.000162 | -0.000962 | -0.001288 | 0.000231 | -0.001235 | -0.000462 | -0.002237 | -0.002159 | 0.000212 | 0.000616 | 0.000015 | 0.566449 | 0.679353 | 0.000339 | 0.000332 | -0.003179 | 0.001273 | 0.001124 | 0.001314 | 0.000856 | 0.000496 | 0.000616 | 0.000045 | 0.001779 | 0.001832 | 0.000915 | 0.000015 | 0.000045 | 0.000804 | 0.001173 | 0.000121 | 0.001321 | -0.000181 | -0.001193 | 0.000021 | 0.000020 | 0.001360 | 0.000682 | -0.000227 | 1.000000 | -0.008790 | -0.005765 | -0.007292 | -0.006811 | -0.000762 | -0.003686 | -0.001296 | -0.000230 |
| Active Mean | -0.041190 | 0.184577 | 0.039856 | 0.038888 | 0.100378 | 0.035920 | 0.120296 | -0.036028 | 0.090354 | 0.102895 | 0.069806 | -0.072800 | 0.069529 | 0.053899 | -0.007024 | -0.031215 | 0.062198 | 0.083214 | 0.125252 | -0.000575 | 0.179723 | 0.040172 | 0.090564 | 0.122382 | -0.003924 | 0.142568 | 0.042852 | 0.086474 | 0.117111 | 0.013216 | 0.003335 | -0.000758 | -0.001450 | -0.006921 | -0.028306 | -0.022713 | -0.075490 | 0.091808 | 0.084901 | 0.073619 | 0.036293 | -0.022536 | 0.003335 | 0.003073 | 0.118440 | -0.027568 | -0.025784 | -0.000758 | 0.003057 | -0.033960 | 0.075555 | 0.090354 | 0.069529 | 0.039856 | 0.100501 | 0.038888 | 0.035915 | 0.077142 | 0.013839 | 0.029927 | -0.008790 | 1.000000 | 0.433704 | 0.831164 | 0.905744 | 0.115355 | 0.068873 | 0.127947 | 0.105120 |
| Active Std | -0.048685 | 0.238259 | 0.008195 | 0.006308 | 0.102714 | 0.003396 | 0.087857 | -0.033065 | 0.053958 | 0.065142 | 0.034391 | -0.062920 | 0.027213 | 0.011257 | -0.005863 | -0.025955 | 0.017327 | 0.024070 | 0.048668 | -0.006295 | 0.234801 | 0.009033 | 0.028004 | 0.048128 | -0.013523 | 0.263626 | 0.068736 | 0.092368 | 0.103540 | 0.022748 | 0.006791 | -0.000630 | -0.002219 | -0.004195 | -0.023534 | -0.018891 | -0.068996 | 0.040539 | 0.053805 | 0.026150 | -0.012354 | -0.020296 | 0.006791 | 0.007561 | 0.129654 | -0.053765 | -0.037512 | -0.000630 | 0.007537 | -0.034794 | 0.044355 | 0.053958 | 0.027213 | 0.008195 | 0.102816 | 0.006308 | 0.003396 | 0.068708 | 0.014062 | 0.005379 | -0.005765 | 0.433704 | 1.000000 | 0.791431 | 0.032509 | 0.031937 | 0.080031 | 0.050798 | 0.018979 |
| Active Max | -0.058775 | 0.289546 | 0.030334 | 0.028483 | 0.125708 | 0.024762 | 0.138441 | -0.045360 | 0.090333 | 0.111241 | 0.071065 | -0.088482 | 0.064798 | 0.044539 | -0.008362 | -0.037091 | 0.048631 | 0.060608 | 0.093470 | -0.004580 | 0.285145 | 0.031303 | 0.067024 | 0.091823 | -0.011678 | 0.283041 | 0.055256 | 0.094847 | 0.113877 | 0.009128 | 0.003066 | -0.000901 | -0.001723 | -0.005386 | -0.033633 | -0.026992 | -0.095010 | 0.088518 | 0.090696 | 0.066670 | 0.015480 | -0.027849 | 0.003066 | 0.003439 | 0.164101 | -0.054352 | -0.041380 | -0.000901 | 0.003420 | -0.050842 | 0.078266 | 0.090333 | 0.064798 | 0.030334 | 0.125845 | 0.028483 | 0.024759 | 0.095382 | 0.018121 | 0.021976 | -0.007292 | 0.831164 | 0.791431 | 1.000000 | 0.583774 | 0.082713 | 0.067975 | 0.096682 | 0.071172 |
| Active Min | -0.027591 | 0.116891 | 0.041227 | 0.041227 | 0.067722 | 0.039051 | 0.102646 | -0.027925 | 0.078874 | 0.091307 | 0.068274 | -0.057779 | 0.070239 | 0.058490 | -0.005632 | -0.025068 | 0.063218 | 0.082539 | 0.116705 | 0.001776 | 0.112891 | 0.042302 | 0.089115 | 0.113837 | 0.000756 | 0.066683 | 0.017910 | 0.057352 | 0.084741 | 0.002127 | -0.001909 | -0.000609 | -0.000350 | -0.005669 | -0.022732 | -0.018238 | -0.058664 | 0.090026 | 0.076592 | 0.074742 | 0.046099 | -0.017505 | -0.001909 | -0.000288 | 0.088550 | -0.011654 | -0.014513 | -0.000609 | -0.000295 | -0.025131 | 0.069584 | 0.078874 | 0.070239 | 0.041227 | 0.067814 | 0.041227 | 0.039045 | 0.062700 | 0.009815 | 0.031372 | -0.006811 | 0.905744 | 0.032509 | 0.583774 | 1.000000 | 0.114424 | 0.036878 | 0.118944 | 0.109233 |
| Idle Mean | -0.129542 | 0.763741 | 0.001364 | 0.000985 | 0.020456 | 0.000479 | 0.170950 | -0.077879 | 0.119456 | 0.173865 | 0.568727 | -0.173027 | 0.564833 | 0.539576 | -0.019896 | -0.088013 | 0.606458 | 0.930515 | 0.979823 | 0.027625 | 0.764251 | 0.659086 | 0.903052 | 0.978194 | 0.296815 | 0.435497 | 0.457347 | 0.543609 | 0.645118 | 0.309323 | -0.029506 | -0.002138 | 0.000213 | -0.001090 | -0.079806 | -0.064066 | -0.169599 | 0.576558 | 0.498346 | 0.538078 | 0.386349 | 0.354959 | -0.029506 | -0.005425 | -0.089102 | 0.152126 | -0.093085 | -0.002138 | -0.005440 | -0.103488 | 0.484682 | 0.119456 | 0.564833 | 0.001364 | 0.020484 | 0.000985 | 0.000479 | -0.067257 | -0.069982 | 0.000489 | -0.000762 | 0.115355 | 0.031937 | 0.082713 | 0.114424 | 1.000000 | 0.146453 | 0.990224 | 0.990068 |
| Idle Std | 0.006380 | 0.240108 | 0.000664 | 0.000353 | 0.026350 | 0.000001 | 0.175238 | -0.032239 | 0.176843 | 0.188626 | 0.166687 | -0.059887 | 0.166486 | 0.174381 | -0.006143 | -0.027172 | 0.140279 | 0.231572 | 0.277631 | -0.005357 | 0.239487 | 0.122361 | 0.276370 | 0.283097 | -0.005973 | 0.113610 | 0.075397 | 0.158919 | 0.167263 | 0.024993 | 0.017559 | -0.000660 | -0.000589 | -0.004552 | -0.024638 | -0.019779 | -0.066233 | 0.221699 | 0.151412 | 0.200755 | 0.168120 | 0.010021 | 0.017559 | -0.000413 | -0.028732 | 0.101997 | 0.023530 | -0.000660 | -0.000421 | -0.056353 | 0.146102 | 0.176843 | 0.166486 | 0.000664 | 0.026383 | 0.000353 | 0.000001 | -0.023996 | -0.020962 | 0.000612 | -0.003686 | 0.068873 | 0.080031 | 0.067975 | 0.036878 | 0.146453 | 1.000000 | 0.280755 | 0.006723 |
| Idle Max | -0.125236 | 0.775365 | 0.001444 | 0.001010 | 0.023876 | 0.000463 | 0.189487 | -0.080174 | 0.140131 | 0.194163 | 0.573639 | -0.176364 | 0.569780 | 0.546417 | -0.020180 | -0.089270 | 0.608177 | 0.934799 | 0.989469 | 0.026100 | 0.775785 | 0.656209 | 0.914131 | 0.988615 | 0.286999 | 0.439590 | 0.456566 | 0.551093 | 0.650946 | 0.305247 | -0.025800 | -0.002168 | 0.000079 | -0.001677 | -0.080945 | -0.064981 | -0.174032 | 0.588717 | 0.503543 | 0.548593 | 0.397072 | 0.345467 | -0.025800 | -0.005299 | -0.089275 | 0.160923 | -0.087470 | -0.002168 | -0.005315 | -0.108763 | 0.489543 | 0.140131 | 0.569780 | 0.001444 | 0.023907 | 0.001010 | 0.000463 | -0.067391 | -0.070864 | 0.000577 | -0.001296 | 0.127947 | 0.050798 | 0.096682 | 0.118944 | 0.990224 | 0.280755 | 1.000000 | 0.961203 |
| Idle Min | -0.131047 | 0.733717 | 0.001229 | 0.000905 | 0.016475 | 0.000471 | 0.146838 | -0.073646 | 0.095581 | 0.148423 | 0.550812 | -0.165532 | 0.547220 | 0.520634 | -0.019153 | -0.084728 | 0.592728 | 0.907703 | 0.951167 | 0.028741 | 0.734319 | 0.648601 | 0.873687 | 0.948741 | 0.301006 | 0.419117 | 0.451125 | 0.526289 | 0.627913 | 0.309315 | -0.032386 | -0.002058 | 0.000320 | -0.000466 | -0.076826 | -0.061674 | -0.160977 | 0.550961 | 0.481919 | 0.515289 | 0.367157 | 0.357718 | -0.032386 | -0.005387 | -0.088311 | 0.140253 | -0.096777 | -0.002058 | -0.005402 | -0.095795 | 0.468987 | 0.095581 | 0.547220 | 0.001229 | 0.016497 | 0.000905 | 0.000471 | -0.065901 | -0.067833 | 0.000376 | -0.000230 | 0.105120 | 0.018979 | 0.071172 | 0.109233 | 0.990068 | 0.006723 | 0.961203 | 1.000000 |
plt.figure(figsize=(50, 40))
sns.heatmap(korelasi_data, annot=True, cmap='coolwarm', fmt=".2f")
plt.title('Heatmap of Correlation Matrix')
plt.savefig('heatmap_korelasi.png')
plt.show()
kolom_label = data_clean['Label'].value_counts()
kolom_label
BENIGN 2071935 DoS Hulk 172846 DDoS 128014 PortScan 90694 DoS GoldenEye 10286 FTP-Patator 5931 DoS slowloris 5385 DoS Slowhttptest 5228 SSH-Patator 3219 Bot 1948 Web Attack Brute Force 1470 Web Attack XSS 652 Infiltration 36 Web Attack Sql Injection 21 Heartbleed 11 Name: Label, dtype: int64
fig = go.Figure(go.Funnel(
y=kolom_label.index,
x=kolom_label.values,
))
fig.update_layout(
title="Daftar Serangan by Funnel Chart",
margin=dict(l=0, r=0),
)
fig.show()
kol_lab = data_clean['Label']
kol_lab = pd.DataFrame(kol_lab)
unsur_yang_diubah = ['DoS Hulk', 'PortScan', 'DDoS', 'DoS GoldenEye',
'FTP-Patator', 'SSH-Patator', 'DoS slowloris', 'DoS Slowhttptest',
'Bot', 'Web Attack Brute Force', 'Web Attack XSS', 'Infiltration',
'Web Attack Sql Injection', 'Heartbleed']
for unsur in unsur_yang_diubah:
kol_lab['Label'] = kol_lab['Label'].replace(unsur, 'ATTACK')
ck = kol_lab['Label'].value_counts()
labels = ck.index
values = ck.values
fig = go.Figure(data=[go.Pie(labels=labels, values=values)])
fig.update_traces(
textinfo="percent+label",
marker=dict(
colors=['#F9D342', '#292826'],
line=dict(color='#FFFFFF', width=1)
)
)
fig.update_layout(title_text="Perbandingan antara Benign dan Attack")
fig.show()
data_clean.columns
Index(['Destination Port', 'Flow Duration', 'Total Fwd Packets',
'Total Backward Packets', 'Total Length of Fwd Packets',
'Total Length of Bwd Packets', 'Fwd Packet Length Max',
'Fwd Packet Length Min', 'Fwd Packet Length Mean',
'Fwd Packet Length Std', 'Bwd Packet Length Max',
'Bwd Packet Length Min', 'Bwd Packet Length Mean',
'Bwd Packet Length Std', 'Flow Bytes/s', 'Flow Packets/s',
'Flow IAT Mean', 'Flow IAT Std', 'Flow IAT Max', 'Flow IAT Min',
'Fwd IAT Total', 'Fwd IAT Mean', 'Fwd IAT Std', 'Fwd IAT Max',
'Fwd IAT Min', 'Bwd IAT Total', 'Bwd IAT Mean', 'Bwd IAT Std',
'Bwd IAT Max', 'Bwd IAT Min', 'Fwd PSH Flags', 'Fwd URG Flags',
'Fwd Header Length', 'Bwd Header Length', 'Fwd Packets/s',
'Bwd Packets/s', 'Min Packet Length', 'Max Packet Length',
'Packet Length Mean', 'Packet Length Std', 'Packet Length Variance',
'FIN Flag Count', 'SYN Flag Count', 'RST Flag Count', 'PSH Flag Count',
'ACK Flag Count', 'URG Flag Count', 'CWE Flag Count', 'ECE Flag Count',
'Down/Up Ratio', 'Average Packet Size', 'Avg Fwd Segment Size',
'Avg Bwd Segment Size', 'Subflow Fwd Packets', 'Subflow Fwd Bytes',
'Subflow Bwd Packets', 'Subflow Bwd Bytes', 'Init_Win_bytes_forward',
'Init_Win_bytes_backward', 'act_data_pkt_fwd', 'min_seg_size_forward',
'Active Mean', 'Active Std', 'Active Max', 'Active Min', 'Idle Mean',
'Idle Std', 'Idle Max', 'Idle Min', 'Label'],
dtype='object')
data_clean.columns = data_clean.columns.str.strip().str.lower().str.replace(' ', '_').str.replace('(', '').str.replace(')', '')
data_clean.head()
C:\Users\ASUS\AppData\Local\Temp\ipykernel_13656\3188535930.py:1: FutureWarning: The default value of regex will change from True to False in a future version. In addition, single character regular expressions will *not* be treated as literal strings when regex=True. C:\Users\ASUS\AppData\Local\Temp\ipykernel_13656\3188535930.py:1: FutureWarning: The default value of regex will change from True to False in a future version. In addition, single character regular expressions will *not* be treated as literal strings when regex=True.
| destination_port | flow_duration | total_fwd_packets | total_backward_packets | total_length_of_fwd_packets | total_length_of_bwd_packets | fwd_packet_length_max | fwd_packet_length_min | fwd_packet_length_mean | fwd_packet_length_std | bwd_packet_length_max | bwd_packet_length_min | bwd_packet_length_mean | bwd_packet_length_std | flow_bytes/s | flow_packets/s | flow_iat_mean | flow_iat_std | flow_iat_max | flow_iat_min | fwd_iat_total | fwd_iat_mean | fwd_iat_std | fwd_iat_max | fwd_iat_min | bwd_iat_total | bwd_iat_mean | bwd_iat_std | bwd_iat_max | bwd_iat_min | fwd_psh_flags | fwd_urg_flags | fwd_header_length | bwd_header_length | fwd_packets/s | bwd_packets/s | min_packet_length | max_packet_length | packet_length_mean | packet_length_std | packet_length_variance | fin_flag_count | syn_flag_count | rst_flag_count | psh_flag_count | ack_flag_count | urg_flag_count | cwe_flag_count | ece_flag_count | down/up_ratio | average_packet_size | avg_fwd_segment_size | avg_bwd_segment_size | subflow_fwd_packets | subflow_fwd_bytes | subflow_bwd_packets | subflow_bwd_bytes | init_win_bytes_forward | init_win_bytes_backward | act_data_pkt_fwd | min_seg_size_forward | active_mean | active_std | active_max | active_min | idle_mean | idle_std | idle_max | idle_min | label | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 49188 | 4 | 2 | 0 | 12.0 | 0.0 | 6 | 6 | 6.000000 | 0.000000 | 0 | 0 | 0.0 | 0.000000 | 3000000.00 | 5.000000e+05 | 4.0 | 0.000000 | 4.0 | 4.0 | 4.0 | 4.0 | 0.000000 | 4.0 | 4.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0 | 0 | 40 | 0 | 5.000000e+05 | 0.000000 | 6 | 6 | 6.000000 | 0.000000 | 0.00000 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 9.000000 | 6.000000 | 0.0 | 2 | 12 | 0 | 0 | 329 | -1 | 1 | 20 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | BENIGN |
| 1 | 49188 | 1 | 2 | 0 | 12.0 | 0.0 | 6 | 6 | 6.000000 | 0.000000 | 0 | 0 | 0.0 | 0.000000 | 12000000.00 | 2.000000e+06 | 1.0 | 0.000000 | 1.0 | 1.0 | 1.0 | 1.0 | 0.000000 | 1.0 | 1.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0 | 0 | 40 | 0 | 2.000000e+06 | 0.000000 | 6 | 6 | 6.000000 | 0.000000 | 0.00000 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 9.000000 | 6.000000 | 0.0 | 2 | 12 | 0 | 0 | 329 | -1 | 1 | 20 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | BENIGN |
| 4 | 49486 | 3 | 2 | 0 | 12.0 | 0.0 | 6 | 6 | 6.000000 | 0.000000 | 0 | 0 | 0.0 | 0.000000 | 4000000.00 | 6.666667e+05 | 3.0 | 0.000000 | 3.0 | 3.0 | 3.0 | 3.0 | 0.000000 | 3.0 | 3.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0 | 0 | 40 | 0 | 6.666667e+05 | 0.000000 | 6 | 6 | 6.000000 | 0.000000 | 0.00000 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 9.000000 | 6.000000 | 0.0 | 2 | 12 | 0 | 0 | 245 | -1 | 1 | 20 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | BENIGN |
| 5 | 49486 | 1 | 2 | 0 | 12.0 | 0.0 | 6 | 6 | 6.000000 | 0.000000 | 0 | 0 | 0.0 | 0.000000 | 12000000.00 | 2.000000e+06 | 1.0 | 0.000000 | 1.0 | 1.0 | 1.0 | 1.0 | 0.000000 | 1.0 | 1.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0 | 0 | 40 | 0 | 2.000000e+06 | 0.000000 | 6 | 6 | 6.000000 | 0.000000 | 0.00000 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 9.000000 | 6.000000 | 0.0 | 2 | 12 | 0 | 0 | 245 | -1 | 1 | 20 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | BENIGN |
| 8 | 88 | 609 | 7 | 4 | 484.0 | 414.0 | 233 | 0 | 69.142857 | 111.967895 | 207 | 0 | 103.5 | 119.511506 | 1474548.44 | 1.806240e+04 | 60.9 | 115.194956 | 381.0 | 2.0 | 609.0 | 101.5 | 177.089525 | 460.0 | 2.0 | 467.0 | 155.666667 | 263.560872 | 460.0 | 3.0 | 0 | 0 | 164 | 104 | 1.149425e+04 | 6568.144499 | 0 | 233 | 74.833333 | 107.527445 | 11562.15152 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 81.636364 | 69.142857 | 103.5 | 7 | 484 | 4 | 414 | 8192 | 2053 | 5 | 20 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | BENIGN |
data_clean.info()
<class 'pandas.core.frame.DataFrame'> Int64Index: 2497676 entries, 0 to 225744 Data columns (total 70 columns): # Column Dtype --- ------ ----- 0 destination_port int64 1 flow_duration int64 2 total_fwd_packets int64 3 total_backward_packets int64 4 total_length_of_fwd_packets float64 5 total_length_of_bwd_packets float64 6 fwd_packet_length_max int64 7 fwd_packet_length_min int64 8 fwd_packet_length_mean float64 9 fwd_packet_length_std float64 10 bwd_packet_length_max int64 11 bwd_packet_length_min int64 12 bwd_packet_length_mean float64 13 bwd_packet_length_std float64 14 flow_bytes/s float64 15 flow_packets/s float64 16 flow_iat_mean float64 17 flow_iat_std float64 18 flow_iat_max float64 19 flow_iat_min float64 20 fwd_iat_total float64 21 fwd_iat_mean float64 22 fwd_iat_std float64 23 fwd_iat_max float64 24 fwd_iat_min float64 25 bwd_iat_total float64 26 bwd_iat_mean float64 27 bwd_iat_std float64 28 bwd_iat_max float64 29 bwd_iat_min float64 30 fwd_psh_flags int64 31 fwd_urg_flags int64 32 fwd_header_length int64 33 bwd_header_length int64 34 fwd_packets/s float64 35 bwd_packets/s float64 36 min_packet_length int64 37 max_packet_length int64 38 packet_length_mean float64 39 packet_length_std float64 40 packet_length_variance float64 41 fin_flag_count int64 42 syn_flag_count int64 43 rst_flag_count int64 44 psh_flag_count int64 45 ack_flag_count int64 46 urg_flag_count int64 47 cwe_flag_count int64 48 ece_flag_count int64 49 down/up_ratio int64 50 average_packet_size float64 51 avg_fwd_segment_size float64 52 avg_bwd_segment_size float64 53 subflow_fwd_packets int64 54 subflow_fwd_bytes int64 55 subflow_bwd_packets int64 56 subflow_bwd_bytes int64 57 init_win_bytes_forward int64 58 init_win_bytes_backward int64 59 act_data_pkt_fwd int64 60 min_seg_size_forward int64 61 active_mean float64 62 active_std float64 63 active_max float64 64 active_min float64 65 idle_mean float64 66 idle_std float64 67 idle_max float64 68 idle_min float64 69 label object dtypes: float64(38), int64(31), object(1) memory usage: 1.3+ GB
# menyimpan label sebelum dipisahkan dengan dataset.
data_labels = data_clean['label']
data_labels.unique()
array(['BENIGN', 'FTP-Patator', 'SSH-Patator', 'DoS slowloris',
'DoS Slowhttptest', 'DoS Hulk', 'DoS GoldenEye', 'Heartbleed',
'Web Attack \x96 Brute Force', 'Web Attack \x96 XSS',
'Web Attack \x96 Sql Injection', 'Infiltration', 'Bot', 'PortScan',
'DDoS'], dtype=object)
# data tanpa label
data_no_labels = data_clean.drop('label', axis=1, inplace=False)
data_features = data_no_labels.columns.tolist()
data_no_labels.head()
| destination_port | flow_duration | total_fwd_packets | total_backward_packets | total_length_of_fwd_packets | total_length_of_bwd_packets | fwd_packet_length_max | fwd_packet_length_min | fwd_packet_length_mean | fwd_packet_length_std | bwd_packet_length_max | bwd_packet_length_min | bwd_packet_length_mean | bwd_packet_length_std | flow_bytes/s | flow_packets/s | flow_iat_mean | flow_iat_std | flow_iat_max | flow_iat_min | fwd_iat_total | fwd_iat_mean | fwd_iat_std | fwd_iat_max | fwd_iat_min | bwd_iat_total | bwd_iat_mean | bwd_iat_std | bwd_iat_max | bwd_iat_min | fwd_psh_flags | fwd_urg_flags | fwd_header_length | bwd_header_length | fwd_packets/s | bwd_packets/s | min_packet_length | max_packet_length | packet_length_mean | packet_length_std | packet_length_variance | fin_flag_count | syn_flag_count | rst_flag_count | psh_flag_count | ack_flag_count | urg_flag_count | cwe_flag_count | ece_flag_count | down/up_ratio | average_packet_size | avg_fwd_segment_size | avg_bwd_segment_size | subflow_fwd_packets | subflow_fwd_bytes | subflow_bwd_packets | subflow_bwd_bytes | init_win_bytes_forward | init_win_bytes_backward | act_data_pkt_fwd | min_seg_size_forward | active_mean | active_std | active_max | active_min | idle_mean | idle_std | idle_max | idle_min | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 49188 | 4 | 2 | 0 | 12.0 | 0.0 | 6 | 6 | 6.000000 | 0.000000 | 0 | 0 | 0.0 | 0.000000 | 3000000.00 | 5.000000e+05 | 4.0 | 0.000000 | 4.0 | 4.0 | 4.0 | 4.0 | 0.000000 | 4.0 | 4.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0 | 0 | 40 | 0 | 5.000000e+05 | 0.000000 | 6 | 6 | 6.000000 | 0.000000 | 0.00000 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 9.000000 | 6.000000 | 0.0 | 2 | 12 | 0 | 0 | 329 | -1 | 1 | 20 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 1 | 49188 | 1 | 2 | 0 | 12.0 | 0.0 | 6 | 6 | 6.000000 | 0.000000 | 0 | 0 | 0.0 | 0.000000 | 12000000.00 | 2.000000e+06 | 1.0 | 0.000000 | 1.0 | 1.0 | 1.0 | 1.0 | 0.000000 | 1.0 | 1.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0 | 0 | 40 | 0 | 2.000000e+06 | 0.000000 | 6 | 6 | 6.000000 | 0.000000 | 0.00000 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 9.000000 | 6.000000 | 0.0 | 2 | 12 | 0 | 0 | 329 | -1 | 1 | 20 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 4 | 49486 | 3 | 2 | 0 | 12.0 | 0.0 | 6 | 6 | 6.000000 | 0.000000 | 0 | 0 | 0.0 | 0.000000 | 4000000.00 | 6.666667e+05 | 3.0 | 0.000000 | 3.0 | 3.0 | 3.0 | 3.0 | 0.000000 | 3.0 | 3.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0 | 0 | 40 | 0 | 6.666667e+05 | 0.000000 | 6 | 6 | 6.000000 | 0.000000 | 0.00000 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 9.000000 | 6.000000 | 0.0 | 2 | 12 | 0 | 0 | 245 | -1 | 1 | 20 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 5 | 49486 | 1 | 2 | 0 | 12.0 | 0.0 | 6 | 6 | 6.000000 | 0.000000 | 0 | 0 | 0.0 | 0.000000 | 12000000.00 | 2.000000e+06 | 1.0 | 0.000000 | 1.0 | 1.0 | 1.0 | 1.0 | 0.000000 | 1.0 | 1.0 | 0.0 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0 | 0 | 40 | 0 | 2.000000e+06 | 0.000000 | 6 | 6 | 6.000000 | 0.000000 | 0.00000 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 9.000000 | 6.000000 | 0.0 | 2 | 12 | 0 | 0 | 245 | -1 | 1 | 20 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 8 | 88 | 609 | 7 | 4 | 484.0 | 414.0 | 233 | 0 | 69.142857 | 111.967895 | 207 | 0 | 103.5 | 119.511506 | 1474548.44 | 1.806240e+04 | 60.9 | 115.194956 | 381.0 | 2.0 | 609.0 | 101.5 | 177.089525 | 460.0 | 2.0 | 467.0 | 155.666667 | 263.560872 | 460.0 | 3.0 | 0 | 0 | 164 | 104 | 1.149425e+04 | 6568.144499 | 0 | 233 | 74.833333 | 107.527445 | 11562.15152 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 81.636364 | 69.142857 | 103.5 | 7 | 484 | 4 | 414 | 8192 | 2053 | 5 | 20 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
# mengubah data menjadi data skala yang dpt digunakan untuk reduksi feature
data_scaled = StandardScaler().fit_transform(data_no_labels)
data_scaled = pd.DataFrame(data = data_scaled, columns = data_features)
data_scaled.head()
| destination_port | flow_duration | total_fwd_packets | total_backward_packets | total_length_of_fwd_packets | total_length_of_bwd_packets | fwd_packet_length_max | fwd_packet_length_min | fwd_packet_length_mean | fwd_packet_length_std | bwd_packet_length_max | bwd_packet_length_min | bwd_packet_length_mean | bwd_packet_length_std | flow_bytes/s | flow_packets/s | flow_iat_mean | flow_iat_std | flow_iat_max | flow_iat_min | fwd_iat_total | fwd_iat_mean | fwd_iat_std | fwd_iat_max | fwd_iat_min | bwd_iat_total | bwd_iat_mean | bwd_iat_std | bwd_iat_max | bwd_iat_min | fwd_psh_flags | fwd_urg_flags | fwd_header_length | bwd_header_length | fwd_packets/s | bwd_packets/s | min_packet_length | max_packet_length | packet_length_mean | packet_length_std | packet_length_variance | fin_flag_count | syn_flag_count | rst_flag_count | psh_flag_count | ack_flag_count | urg_flag_count | cwe_flag_count | ece_flag_count | down/up_ratio | average_packet_size | avg_fwd_segment_size | avg_bwd_segment_size | subflow_fwd_packets | subflow_fwd_bytes | subflow_bwd_packets | subflow_bwd_bytes | init_win_bytes_forward | init_win_bytes_backward | act_data_pkt_fwd | min_seg_size_forward | active_mean | active_std | active_max | active_min | idle_mean | idle_std | idle_max | idle_min | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 2.118864 | -0.473572 | -0.010473 | -0.010987 | -0.056867 | -0.007600 | -0.298886 | -0.214179 | -0.294120 | -0.261716 | -0.480650 | -0.605167 | -0.540432 | -0.429717 | 0.059747 | 2.227667 | -0.310329 | -0.389698 | -0.403129 | -0.056770 | -0.464733 | -0.292902 | -0.363616 | -0.395741 | -0.12594 | -0.369459 | -0.216910 | -0.252911 | -0.292062 | -0.124038 | -0.226699 | -0.00566 | 0.001317 | 0.001668 | 2.368890 | -0.169601 | -0.417530 | -0.501060 | -0.582002 | -0.502153 | -0.315889 | -0.182869 | -0.226699 | -0.016575 | -0.655217 | 1.482002 | 2.969438 | -0.00566 | -0.016611 | -1.002286 | -0.590617 | -0.294120 | -0.540432 | -0.010473 | -0.056943 | -0.010987 | -0.007600 | -0.477733 | -0.251049 | -0.007463 | 0.002711 | -0.133992 | -0.111401 | -0.159206 | -0.10761 | -0.377757 | -0.116623 | -0.38315 | -0.363654 |
| 1 | 2.118864 | -0.473572 | -0.010473 | -0.010987 | -0.056867 | -0.007600 | -0.298886 | -0.214179 | -0.294120 | -0.261716 | -0.480650 | -0.605167 | -0.540432 | -0.429717 | 0.397028 | 9.609641 | -0.310330 | -0.389698 | -0.403129 | -0.056771 | -0.464734 | -0.292903 | -0.363616 | -0.395741 | -0.12594 | -0.369459 | -0.216910 | -0.252911 | -0.292062 | -0.124038 | -0.226699 | -0.00566 | 0.001317 | 0.001668 | 10.109350 | -0.169601 | -0.417530 | -0.501060 | -0.582002 | -0.502153 | -0.315889 | -0.182869 | -0.226699 | -0.016575 | -0.655217 | 1.482002 | 2.969438 | -0.00566 | -0.016611 | -1.002286 | -0.590617 | -0.294120 | -0.540432 | -0.010473 | -0.056943 | -0.010987 | -0.007600 | -0.477733 | -0.251049 | -0.007463 | 0.002711 | -0.133992 | -0.111401 | -0.159206 | -0.10761 | -0.377757 | -0.116623 | -0.38315 | -0.363654 |
| 2 | 2.134484 | -0.473572 | -0.010473 | -0.010987 | -0.056867 | -0.007600 | -0.298886 | -0.214179 | -0.294120 | -0.261716 | -0.480650 | -0.605167 | -0.540432 | -0.429717 | 0.097223 | 3.047886 | -0.310330 | -0.389698 | -0.403129 | -0.056770 | -0.464734 | -0.292902 | -0.363616 | -0.395741 | -0.12594 | -0.369459 | -0.216910 | -0.252911 | -0.292062 | -0.124038 | -0.226699 | -0.00566 | 0.001317 | 0.001668 | 3.228941 | -0.169601 | -0.417530 | -0.501060 | -0.582002 | -0.502153 | -0.315889 | -0.182869 | -0.226699 | -0.016575 | -0.655217 | 1.482002 | 2.969438 | -0.00566 | -0.016611 | -1.002286 | -0.590617 | -0.294120 | -0.540432 | -0.010473 | -0.056943 | -0.010987 | -0.007600 | -0.483474 | -0.251049 | -0.007463 | 0.002711 | -0.133992 | -0.111401 | -0.159206 | -0.10761 | -0.377757 | -0.116623 | -0.38315 | -0.363654 |
| 3 | 2.134484 | -0.473572 | -0.010473 | -0.010987 | -0.056867 | -0.007600 | -0.298886 | -0.214179 | -0.294120 | -0.261716 | -0.480650 | -0.605167 | -0.540432 | -0.429717 | 0.397028 | 9.609641 | -0.310330 | -0.389698 | -0.403129 | -0.056771 | -0.464734 | -0.292903 | -0.363616 | -0.395741 | -0.12594 | -0.369459 | -0.216910 | -0.252911 | -0.292062 | -0.124038 | -0.226699 | -0.00566 | 0.001317 | 0.001668 | 10.109350 | -0.169601 | -0.417530 | -0.501060 | -0.582002 | -0.502153 | -0.315889 | -0.182869 | -0.226699 | -0.016575 | -0.655217 | 1.482002 | 2.969438 | -0.00566 | -0.016611 | -1.002286 | -0.590617 | -0.294120 | -0.540432 | -0.010473 | -0.056943 | -0.010987 | -0.007600 | -0.483474 | -0.251049 | -0.007463 | 0.002711 | -0.133992 | -0.111401 | -0.159206 | -0.10761 | -0.377757 | -0.116623 | -0.38315 | -0.363654 |
| 4 | -0.454813 | -0.473555 | -0.004209 | -0.007220 | -0.012494 | -0.007428 | -0.000054 | -0.312565 | 0.027361 | 0.113813 | -0.379471 | -0.605167 | -0.377419 | -0.294580 | 0.002580 | -0.144101 | -0.310317 | -0.389685 | -0.403114 | -0.056770 | -0.464716 | -0.292893 | -0.363598 | -0.395723 | -0.12594 | -0.369443 | -0.216894 | -0.252871 | -0.292037 | -0.124038 | -0.226699 | -0.00566 | 0.001322 | 0.001736 | -0.151949 | 0.002163 | -0.652289 | -0.394454 | -0.366573 | -0.340034 | -0.309258 | -0.182869 | -0.226699 | -0.016575 | 1.526211 | -0.674763 | -0.336764 | -0.00566 | -0.016611 | -1.002286 | -0.381153 | 0.027361 | -0.377419 | -0.004209 | -0.012510 | -0.007220 | -0.007428 | 0.059593 | -0.021885 | -0.001560 | 0.002711 | -0.133992 | -0.111401 | -0.159206 | -0.10761 | -0.377757 | -0.116623 | -0.38315 | -0.363654 |
pca_test = PCA().fit(data_scaled)
plt.plot(np.cumsum(pca_test.explained_variance_ratio_))
plt.xlabel('Number of Principal Components')
plt.ylabel('Cumulative Explained Variance')
plt.show()
pca_test = PCA().fit(data_no_labels)
plt.plot(np.cumsum(pca_test.explained_variance_ratio_))
plt.xlabel('Number of Principal Components')
plt.ylabel('Cumulative Explained Variance')
plt.show()
dimensions_num_for_PCA = 10
def get_PCA_feature_names(num_of_pca_components):
feature_names = []
for i in range(num_of_pca_components):
feature_names.append(f"PC {i+1}")
return feature_names
pca = PCA(n_components=dimensions_num_for_PCA)
principal_components = pca.fit(data_no_labels).transform(data_no_labels)
principal_component_headings = get_PCA_feature_names(dimensions_num_for_PCA)
data_pc = pd.DataFrame(data = principal_components, columns = principal_component_headings)
data_pc.head()
| PC 1 | PC 2 | PC 3 | PC 4 | PC 5 | PC 6 | PC 7 | PC 8 | PC 9 | PC 10 | |
|---|---|---|---|---|---|---|---|---|---|---|
| 0 | -3.490283e+07 | -3.017339e+06 | 1.231549e+06 | -32336.524168 | 1.096031e+06 | -681189.831369 | -359194.168674 | -194791.498580 | 73441.507807 | -212433.802324 |
| 1 | -3.498933e+07 | -3.135835e+06 | 1.023667e+07 | -31065.172050 | 1.053887e+06 | -664918.127818 | -352825.365743 | -191883.017788 | 71826.282496 | -211367.252618 |
| 2 | -3.491244e+07 | -3.030506e+06 | 2.232118e+06 | -32195.263326 | 1.091349e+06 | -679382.799440 | -358487.042567 | -194469.443030 | 73262.073647 | -212315.404238 |
| 3 | -3.498933e+07 | -3.135835e+06 | 1.023667e+07 | -31065.172155 | 1.053887e+06 | -664918.159256 | -352825.343724 | -191883.047933 | 71826.308539 | -211367.323407 |
| 4 | -3.488689e+07 | -2.996890e+06 | -2.957528e+05 | -32676.111550 | 1.103095e+06 | -684134.220508 | -359660.102391 | -195115.859632 | 74044.319000 | -211643.608318 |
data_pc = data_pc.reset_index(drop=True)
data_labels = data_labels.reset_index(drop=True)
data_final = pd.concat([data_pc, data_labels], axis=1, ignore_index=True)
data_final.head()
| 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | -3.490283e+07 | -3.017339e+06 | 1.231549e+06 | -32336.524168 | 1.096031e+06 | -681189.831369 | -359194.168674 | -194791.498580 | 73441.507807 | -212433.802324 | BENIGN |
| 1 | -3.498933e+07 | -3.135835e+06 | 1.023667e+07 | -31065.172050 | 1.053887e+06 | -664918.127818 | -352825.365743 | -191883.017788 | 71826.282496 | -211367.252618 | BENIGN |
| 2 | -3.491244e+07 | -3.030506e+06 | 2.232118e+06 | -32195.263326 | 1.091349e+06 | -679382.799440 | -358487.042567 | -194469.443030 | 73262.073647 | -212315.404238 | BENIGN |
| 3 | -3.498933e+07 | -3.135835e+06 | 1.023667e+07 | -31065.172155 | 1.053887e+06 | -664918.159256 | -352825.343724 | -191883.047933 | 71826.308539 | -211367.323407 | BENIGN |
| 4 | -3.488689e+07 | -2.996890e+06 | -2.957528e+05 | -32676.111550 | 1.103095e+06 | -684134.220508 | -359660.102391 | -195115.859632 | 74044.319000 | -211643.608318 | BENIGN |
# menggabungkan data dengan label
data_final = pd.concat([data_pc, data_labels], axis = 1)
data_final.head()
| PC 1 | PC 2 | PC 3 | PC 4 | PC 5 | PC 6 | PC 7 | PC 8 | PC 9 | PC 10 | label | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | -3.490283e+07 | -3.017339e+06 | 1.231549e+06 | -32336.524168 | 1.096031e+06 | -681189.831369 | -359194.168674 | -194791.498580 | 73441.507807 | -212433.802324 | BENIGN |
| 1 | -3.498933e+07 | -3.135835e+06 | 1.023667e+07 | -31065.172050 | 1.053887e+06 | -664918.127818 | -352825.365743 | -191883.017788 | 71826.282496 | -211367.252618 | BENIGN |
| 2 | -3.491244e+07 | -3.030506e+06 | 2.232118e+06 | -32195.263326 | 1.091349e+06 | -679382.799440 | -358487.042567 | -194469.443030 | 73262.073647 | -212315.404238 | BENIGN |
| 3 | -3.498933e+07 | -3.135835e+06 | 1.023667e+07 | -31065.172155 | 1.053887e+06 | -664918.159256 | -352825.343724 | -191883.047933 | 71826.308539 | -211367.323407 | BENIGN |
| 4 | -3.488689e+07 | -2.996890e+06 | -2.957528e+05 | -32676.111550 | 1.103095e+06 | -684134.220508 | -359660.102391 | -195115.859632 | 74044.319000 | -211643.608318 | BENIGN |
data_final['label'].value_counts()
BENIGN 2071935 DoS Hulk 172846 DDoS 128014 PortScan 90694 DoS GoldenEye 10286 FTP-Patator 5931 DoS slowloris 5385 DoS Slowhttptest 5228 SSH-Patator 3219 Bot 1948 Web Attack Brute Force 1470 Web Attack XSS 652 Infiltration 36 Web Attack Sql Injection 21 Heartbleed 11 Name: label, dtype: int64